Convolutional neural networks for large-scale remote-sensing image classification

ImageNet classification with deep convolutional neural networks

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Fully convolutional networks for semantic segmentation

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Neural networks for pattern recognition

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How transferable are features in deep neural networks?

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Multi-column deep neural networks for image classification

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Deep learning-based classification of hyperspectral data

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Kernel-based methods for hyperspectral image classification

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Advances in Spectral-Spatial Classification of Hyperspectral Images

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Spectral-spatial classification of hyperspectral data based on deep belief network

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Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

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Deep supervised learning for hyperspectral data classification through convolutional neural networks

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SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images

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Machine learning for aerial image labeling

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Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

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The application of artificial neural networks to the analysis of remotely sensed data

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What is a good evaluation measure for semantic segmentation?

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Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

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Learning multiscale and deep representations for classifying remotely sensed imagery

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Multiview Deep Learning for Land-Use Classification

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Convolutional Neural Network Based Automatic Object Detection on Aerial Images

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Classification of hyperspectral image based on deep belief networks

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On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery

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Road network extraction: a neural-dynamic framework based on deep learning and a finite state machine

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Neural maps in remote sensing image analysis

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Stable Mean-Shift Algorithm and Its Application to the Segmentation of Arbitrarily Large Remote Sensing Images

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Hyperspectral Image Classification with Convolutional Neural Networks

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A comparison of texture measures for the per-field classification of Mediterranean land cover

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A Scalable Tile-Based Framework for Region-Merging Segmentation

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Deep Model for Classification of Hyperspectral image using Restricted Boltzmann Machine

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Graph-cut-based model for spectral-spatial classification of hyperspectral images

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Segmentation of remote-sensing images by incremental neural network

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A supervised hierarchical segmentation of remote-sensing images using a committee of multi-scale convolutional neural networks

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Morphological Attribute Profiles With Partial Reconstruction

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Information fusion in tree classifiers

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Deep learning in remote sensing applications: A meta-analysis and review

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A survey on deep learning for multimodal data fusion

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

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Benchmarking and scaling of deep learning models for land cover image classification

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Development and evaluation of a deep learning model for real-time ground vehicle semantic segmentation from UAV-based thermal infrared imagery

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Advancements in Image Classification using Convolutional Neural Network

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Research on Clothing Image Classification by Convolutional Neural Networks

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Comparison of different convolutional neural network techniques for car models classification

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A GPU-based convolutional neural network approach for image classification

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Classification of Optical Remote Sensing Images Based on Convolutional Neural Network

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