Multi-class geospatial object detection and geographic image classification based on collection of part detectors

Distinctive Image Features from Scale-Invariant Keypoints

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Histograms of Oriented Gradients for Human Detection

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The pascal visual object classes (VOC) challenge

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Object Detection with Discriminatively Trained Part-Based Models

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A Bayesian Hierarchical Model for Learning Natural Scene Categories

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Poselets: Body part detectors trained using 3D human pose annotations

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Ensemble of exemplar-SVMs for object detection and beyond

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Unsupervised Discovery of Mid-Level Discriminative Patches

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The DGPF-Test on Digital Airborne Camera Evaluation Overview and Test Design

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A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features

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Blocks That Shout: Distinctive Parts for Scene Classification

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Geographic Image Retrieval Using Local Invariant Features

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Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis

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Spatial pyramid co-occurrence for image classification

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Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA

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Automatic Target Detection in High-Resolution Remote Sensing Images Using Spatial Sparse Coding Bag-of-Words Model

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Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding

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A complete processing chain for ship detection using optical satellite imagery

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GeoIRIS: Geospatial Information Retrieval and Indexing System—Content Mining, Semantics Modeling, and Complex Queries

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A Probabilistic Framework to Detect Buildings in Aerial and Satellite Images

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Object Classification of Aerial Images With Bag-of-Visual Words

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Road Network Detection Using Probabilistic and Graph Theoretical Methods

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Object detection in remote sensing imagery using a discriminatively trained mixture model

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Forest Type Mapping using Object-specific Texture Measures from Multispectral Ikonos Imagery

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On-line boosting-based car detection from aerial images

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Learning bayesian classifiers for scene classification with a visual grammar

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Harvesting Mid-level Visual Concepts from Large-Scale Internet Images

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Interactive learning and probabilistic retrieval in remote sensing image archives

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Learning Discriminative Part Detectors for Image Classification and Cosegmentation

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A Visual Search Inspired Computational Model for Ship Detection in Optical Satellite Images

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Texture-Based Airport Runway Detection

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Modeling and Detection of Geospatial Objects Using Texture Motifs

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Latent Dirichlet Allocation for Spatial Analysis of Satellite Images

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Unsupervised building detection in complex urban environments from multispectral satellite imagery

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Object Detection in 20 Years: A Survey

Zou, Z., Chen, K., Shi, Z., Guo, Y., & Ye, J. (2023) · Proceedings of the IEEE · doi:10.1109/jproc.2023.3238524 · Cited by 3,689 · see citing works

Remote Sensing Image Scene Classification: Benchmark and State of the Art

Cheng, G., Han, J., & Lu, X. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2675998 · Cited by 2,926 · see citing works

AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

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Object detection in optical remote sensing images: A survey and a new benchmark

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Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

Cheng, G., Zhou, P., & Han, J. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2601622 · Cited by 1,771 · see citing works

A survey on object detection in optical remote sensing images

Cheng, G., & Han, J. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2016.03.014 · Cited by 1,503 · see citing works

A Survey of Deep Learning-Based Object Detection

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When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

Cheng, G., Yang, C., Yao, X., Guo, L., & Han, J. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2017.2783902 · Cited by 1,229 · see citing works

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

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Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks

Long, Y., Gong, Y., Xiao, Z., & Liu, Q. (2017) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2645610 · Cited by 899 · see citing works

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

Ding, J., Xue, N., Xia, G.-S., Bai, X., Yang, W., Yang, M. Y., Belongie, S., Luo, J., Datcu, M., Pelillo, M., et al. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3117983 · Cited by 678 · see citing works

Scene Classification With Recurrent Attention of VHR Remote Sensing Images

Wang, Q., Liu, S., Chanussot, J., & Li, X. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2018.2864987 · Cited by 614 · see citing works

FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery

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Multi-scale object detection in remote sensing imagery with convolutional neural networks

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CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery

Zhang, G., Lu, S., & Zhang, W. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2930982 · Cited by 497 · see citing works

Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark

Xu, C., Wang, J., Yang, W., Yu, H., Yu, L., & Xia, G.-S. (2022) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2022.06.002 · Cited by 504 · see citing works

Deep Feature Fusion for VHR Remote Sensing Scene Classification

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Tiny Object Detection in Aerial Images

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Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects

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Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds

Liu, Z., Wang, H., Weng, L., & Yang, Y. (2016) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2016.2565705 · Cited by 442 · see citing works

Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images

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RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model

Chen, K., Liu, C., Chen, H., Zhang, H., Li, W., Zou, Z., & Shi, Z. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3356074 · Cited by 416 · see citing works

Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

Hoeser, T., & Kuenzer, C. (2020) · Remote Sensing · doi:10.3390/rs12101667 · Cited by 375 · see citing works

Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection

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Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning

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Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images

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Remote Sensing Image Scene Classification Using Bag of Convolutional Features

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FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition

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Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images

Cheng, G., Han, J., Guo, L., Liu, Z., Bu, S., & Ren, J. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2393857 · Cited by 305 · see citing works

Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining

Tang, T., Zhou, S., Deng, Z., Zou, H., & Lei, L. (2017) · Sensors · doi:10.3390/s17020336 · Cited by 282 · see citing works

Small Object Detection in Optical Remote Sensing Images via Modified Faster R-CNN

Ren, Y., Zhu, C., & Xiao, S. (2018) · Applied Sciences · doi:10.3390/app8050813 · Cited by 281 · see citing works

Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images

Fu, K., Chang, Z., Zhang, Y., Xu, G., Zhang, K., & Sun, X. (2020) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2020.01.025 · Cited by 274 · see citing works

ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery

Liu, Y., Li, Q., Yuan, Y., Du, Q., & Wang, Q. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3133956 · Cited by 263 · see citing works

A Survey of Object Detection for UAVs Based on Deep Learning

Tang, G., Ni, J., Zhao, Y., Gu, Y., & Cao, W. (2023) · Remote Sensing · doi:10.3390/rs16010149 · Cited by 270 · see citing works

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

Long, Y., Xia, G.-S., Li, S., Yang, W., Yang, M. Y., Zhu, X. X., Zhang, L., & Li, D. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2021.3070368 · Cited by 250 · see citing works

Remote sensing image super-resolution and object detection: Benchmark and state of the art

Wang, Y., Bashir, S. M. A., Khan, M., Ullah, Q., Wang, R., Song, Y., Guo, Z., & Niu, Y. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.116793 · Cited by 251 · see citing works

CDLNet: Collaborative Dictionary Learning Network for Remote Sensing Image Scene Classification

Zhao, Y., Liu, J., & Wu, Z. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3336471 · Cited by 244 · see citing works

Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images

Zou, Z., & Shi, Z. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2773199 · Cited by 240 · see citing works

Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers

Ma, L., Fu, T., Blaschke, T., Li, M., Dirk Tiede, A., Zhou, Z., Ma, X., & Chen, D. (2017) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi6020051 · Cited by 239 · see citing works

A survey of remote sensing image classification based on CNNs

Song, J., Gao, S., Zhu, Y., & Ma, C. (2019) · Big Earth Data · doi:10.1080/20964471.2019.1657720 · Cited by 234 · see citing works

A Unified Metric Learning-Based Framework for Co-Saliency Detection

Han, J., Cheng, G., Li, Z., & Zhang, D. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2706264 · Cited by 231 · see citing works

ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

Wu, X., Hong, D., Tian, J., Chanussot, J., Li, W., & Tao, R. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2897139 · Cited by 224 · see citing works

Effective Feature Fusion Network in BIFPN for Small Object Detection

Chen, J., Mai, H., Luo, L., Chen, X., & Wu, K. (2021) · Proceedings - International Conference on Image Processing · doi:10.1109/icip42928.2021.9506347 · Cited by 215 · see citing works

Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images

Gong, H., Mu, T., Li, Q., Dai, H., Li, C., He, Z., Wang, W., Han, F., Tuniyazi, A., Li, H., et al. (2022) · Remote Sensing · doi:10.3390/rs14122861 · Cited by 217 · see citing works

A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification

Lu, X., Sun, H., & Zheng, X. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2917161 · Cited by 211 · see citing works

Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey

Li, Z., Wang, Y., Zhang, N., Zhang, Y., Zhao, Z., Xu, D., Ben, G., & Gao, Y. (2022) · Remote Sensing · doi:10.3390/rs14102385 · Cited by 219 · see citing works

Exploring Deep Learning-Based Architecture, Strategies, Applications and Current Trends in Generic Object Detection: A Comprehensive Review

Aziz, L., Salam, M. S. B. H., Sheikh, U. U., & Ayub, S. (2020) · IEEE Access · doi:10.1109/access.2020.3021508 · Cited by 214 · see citing works

Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images

Wang, C., Bai, X. P., Wang, S., Zhou, J. W., & Ren, P. (2018) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2018.2872355 · Cited by 198 · see citing works

Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural Networks

Deng, Z., Sun, H., Zhou, S., Zhao, J., & Zou, H. (2017) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2017.2694890 · Cited by 195 · see citing works

PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery

Sun, X., Wang, P., Wang, C., Liu, Y., & Fu, K. (2021) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2020.12.015 · Cited by 191 · see citing works

Vision-Language Models in Remote Sensing: Current progress and future trends

Xiang, L., Wen, C., Hu, Y., Yuan, Z., & Zhu, X. X. (2024) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2024.3383473 · Cited by 199 · see citing works

Vehicle Detection From UAV Imagery With Deep Learning: A Review

Bouguettaya, A., Zarzour, H., Kechida, A., & Taberkit, A. M. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3080276 · Cited by 187 · see citing works

SCViT: A Spatial-Channel Feature Preserving Vision Transformer for Remote Sensing Image Scene Classification

Lv, P., Wu, W., Zhong, Y., Du, F., & Zhang, L. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3157671 · Cited by 189 · see citing works

Few-Shot Object Detection on Remote Sensing Images

Xiang, L., Deng, J., & Fang, Y. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3051383 · Cited by 186 · see citing works

Looking Closer at the Scene: Multiscale Representation Learning for Remote Sensing Image Scene Classification

Wang, Q., Huang, W. F., Xiong, Z., & Li, X. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3042276 · Cited by 188 · see citing works

Remote Sensing Object Detection Meets Deep Learning: A metareview of challenges and advances

Zhang, X., Zhang, T., Wang, G., Zhu, P., Tang, X., Jia, X., & Jiao, L. (2023) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2023.3312347 · Cited by 191 · see citing works

Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications

Hoeser, T., Bachofer, F., & Kuenzer, C. (2020) · Remote Sensing · doi:10.3390/rs12183053 · Cited by 181 · see citing works

RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection

Cheng, G., Zhou, P., & Han, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.315 · Cited by 175 · see citing works

Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping

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MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding

Qi, X., Zhu, P., Wang, Y., Zhang, L., Peng, J., Wu, M., Chen, J., Zhao, X., Zang, N., & Mathiopoulos, P. T. (2020) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2020.09.020 · Cited by 177 · see citing works

mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions

Chalavadi, V., Prudviraj, J., Datla, R., Babu, S., & Mohan, C. K. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.108548 · Cited by 175 · see citing works

Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques and Embedded Platforms—A Comprehensive Review

Chintakindi, B. M., Hashmi, M. F., Bokde, N. D., & Geem, Z. W. (2020) · Applied Sciences · doi:10.3390/app10093280 · Cited by 178 · see citing works

An Efficient and Robust Integrated Geospatial Object Detection Framework for High Spatial Resolution Remote Sensing Imagery

Han, X., Zhong, Y., & Zhang, L. (2017) · Remote Sensing · doi:10.3390/rs9070666 · Cited by 171 · see citing works

Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval

Li, Y., Zhang, Y., Huang, X., & Ma, J. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2018.2839705 · Cited by 170 · see citing works

Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning

Yao, X., Feng, X., Han, J., Cheng, G., & Guo, L. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2991407 · Cited by 170 · see citing works

Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network

Guo, W., Yang, W. T., Zhang, H., & Hua, G. (2018) · Remote Sensing · doi:10.3390/rs10010131 · Cited by 169 · see citing works

Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks

Gallego, A., Pertusa, A., & Gil, P. (2018) · Remote Sensing · doi:10.3390/rs10040511 · Cited by 172 · see citing works

RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data

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Ship detection and classification from optical remote sensing images: A survey

Bo, L. I., Xie, X., Wei, X., & Tang, W. (2020) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2020.09.022 · Cited by 165 · see citing works

Unsupervised Feature Learning Via Spectral Clustering of Multidimensional Patches for Remotely Sensed Scene Classification

Hu, F., Xia, G.-S., Wang, Z., Huang, X., Zhang, L., & Sun, H. (2015) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2015.2444405 · Cited by 164 · see citing works

Transformer with Transfer CNN for Remote-Sensing-Image Object Detection

Li, Q., Chen, Y., & Zeng, Y. (2022) · Remote Sensing · doi:10.3390/rs14040984 · Cited by 164 · see citing works

Using convolutional features and a sparse autoencoder for land-use scene classification

Othman, E. M. A., Bazi, Y., Alajlan, N., Alhichri, H. S., & Melgani, F. (2016) · International Journal of Remote Sensing · doi:10.1080/01431161.2016.1171928 · Cited by 154 · see citing works

Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses

Xu, Y., Du, B., & Zhang, L. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2999962 · Cited by 154 · see citing works

Remote Sensing Scene Classification via Multi-Branch Local Attention Network

Chen, S.-B., Wei, Q.-S., Wang, W.-Z., Tang, J., Luo, B., & Wang, Z. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3127851 · Cited by 154 · see citing works

Attention and Feature Fusion SSD for Remote Sensing Object Detection

Lu, X., Ji, J., Xing, Z., & Miao, Q. (2021) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2021.3052575 · Cited by 153 · see citing works

Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark

Yin, Q., Hu, Q., Liu, H., Zhang, F., Wang, Y., Lin, Z., An, W., & Guo, Y. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3130436 · Cited by 155 · see citing works

Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images

Liu, Y., Li, H., Hu, C., Luo, S., Luo, Y., & Chen, C. W. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3336563 · Cited by 163 · see citing works

Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images

Li, Y., Zhang, Y., Huang, X., & Yuille, A. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.09.014 · Cited by 144 · see citing works

Sig-NMS-Based Faster R-CNN Combining Transfer Learning for Small Target Detection in VHR Optical Remote Sensing Imagery

Dong, R., Xu, D., Zhao, J. K., Jiao, L., & An, J. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2921396 · Cited by 144 · see citing works

Feature Split–Merge–Enhancement Network for Remote Sensing Object Detection

Ma, W., Li, N., Zhu, H., Jiao, L., Tang, X., Guo, Y., & Hou, B. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3140856 · Cited by 140 · see citing works

Multi-class geospatial object detection based on a position-sensitive balancing framework for high spatial resolution remote sensing imagery

Zhong, Y., Han, X., & Zhang, L. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.02.014 · Cited by 138 · see citing works

Object Detection and Instance Segmentation in Remote Sensing Imagery Based on Precise Mask R-CNN

Su, H., Wei, S., Yan, M., Wang, C., Shi, J. T., & Zhang, X. (2019) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2019.8898573 · Cited by 138 · see citing works

Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification

Li, Y., Tao, C., Tan, Y., Shang, K., & Tian, J. (2016) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2015.2503142 · Cited by 137 · see citing works

Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

Wu, X., Hong, D., Chanussot, J., Xu, Y., Tao, R., & Wang, Y. (2019) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2919755 · Cited by 137 · see citing works

RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images

Li, Y., Huang, Q., Pei, X., Jiao, L., & Shang, R. (2020) · Remote Sensing · doi:10.3390/rs12030389 · Cited by 137 · see citing works

Feature significance-based multibag-of-visual-words model for remote sensing image scene classification

Zhao, L., Tang, P. T. P., & Huo, L. (2016) · Journal of Applied Remote Sensing · doi:10.1117/1.jrs.10.035004 · Cited by 135 · see citing works

An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning

Tang, X., Zhang, H., Mou, L., Liu, F., Zhang, X., Zhu, X. X., & Jiao, L. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3106381 · Cited by 135 · see citing works

Fully Convolutional Network With Task Partitioning for Inshore Ship Detection in Optical Remote Sensing Images

Lin, H., Shi, Z., & Zou, Z. (2017) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2017.2727515 · Cited by 133 · see citing works

Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification

Liu, N., Wan, L., Zhang, Y., Zhou, T., Huo, H., & Fang, T. (2018) · IEEE Access · doi:10.1109/access.2018.2798799 · Cited by 134 · see citing works

RS-MetaNet: Deep Metametric Learning for Few-Shot Remote Sensing Scene Classification

Li, H., Cui, Z., Zhu, Z., Chen, L., Zhu, J., Huang, H., & Tao, C. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3027387 · Cited by 130 · see citing works

Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion

Qian, X., Lin, S., Cheng, G., Yao, X., Ren, H., & Wang, W. (2020) · Remote Sensing · doi:10.3390/rs12010143 · Cited by 127 · see citing works

CoF-Net: A Progressive Coarse-to-Fine Framework for Object Detection in Remote-Sensing Imagery

Zhang, C., Lam, K., & Wang, Q. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3233881 · Cited by 129 · see citing works

Enhanced Feature Pyramid Network With Deep Semantic Embedding for Remote Sensing Scene Classification

Wang, X., Wang, S., Ning, C., & Zhou, H. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3044655 · Cited by 123 · see citing works

Generalized few-shot object detection in remote sensing images

Zhang, T., Zhang, X., Zhu, P., Jia, X., Tang, X., & Jiao, L. (2022) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2022.12.004 · Cited by 123 · see citing works

Global to Local: A Scale-Aware Network for Remote Sensing Object Detection

Gao, T., Niu, Q., Zhang, J., Chen, T., Mei, S., & Jubair, A. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3294241 · Cited by 122 · see citing works

Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network

Tayara, H., & Chong, K. T. (2018) · Sensors · doi:10.3390/s18103341 · Cited by 117 · see citing works

Aircraft Target Detection in Remote Sensing Images Based on Improved YOLOv5

Luo, S. N., Yu, J., Xi, Y., & Liao, X. (2022) · IEEE Access · doi:10.1109/access.2022.3140876 · Cited by 119 · see citing works

Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery

Xu, Z., Xu, X., Wang, L., Yang, R. Q., & Pu, F. (2017) · Remote Sensing · doi:10.3390/rs9121312 · Cited by 118 · see citing works

A Public Dataset for Fine-Grained Ship Classification in Optical Remote Sensing Images

Di, Y., Jiang, Z., & Zhang, H. (2021) · Remote Sensing · doi:10.3390/rs13040747 · Cited by 116 · see citing works

Perturbation-Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Scene Classification

Cheng, G., Sun, X., Li, K., Guo, L., & Han, J. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3081421 · Cited by 116 · see citing works

Scalable multi-class geospatial object detection in high-spatial-resolution remote sensing images

Cheng, G., Han, J., Zhou, P., & Guo, L. (2014) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2014.6946975 · Cited by 21 · see citing works

A generic discriminative part-based model for geospatial object detection in optical remote sensing images

Zhang, W., Sun, X., Wang, H., & Fu, K. (2014) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2014.10.007 · Cited by 45 · see citing works

Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model

Zhang, W., Sun, X., Fu, K., Wang, C., & Wang, H. (2013) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2013.2246538 · Cited by 116 · see citing works

Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images

Li, K., Cheng, G., Bu, S., & You, X. (2017) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2017.2778300 · Cited by 442 · see citing works

Generalized multiple kernel framework for multiclass geospatial objects detection in high-resolution remote sensing images

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