Remote Sensing Satellite Image Processing Techniques for Image Classification: A Comprehensive Survey

Remote sensing, models, and methods for image processing

Schowengerdt, R. A. (1997) · Cited by 2,122

Generalized Discriminant Analysis Using a Kernel Approach

Baudat, G., & Anouar, F. (2000) · Neural Computation · doi:10.1162/089976600300014980 · Cited by 1,679

Spring: Integrating remote sensing and gis by object-oriented data modelling

Câmara, G., de Souza, R. C. M., Freitas, U. M. D., & Garrido, J. (1996) · Computers & Graphics · doi:10.1016/0097-8493(96)00008-8 · Cited by 908

Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery

Yu, Q., Gong, P., Clinton, N., Biging, G. S., Kelly, M., & Schirokauer, D. (2006) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.72.7.799 · Cited by 783

Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation

Wei, Q., Bioucas‐Dias, J. M., Dobigeon, N., & Tourneret, J. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2381272 · Cited by 698

Techniques for Image Processing and Classifications in Remote Sensing

Schowengerdt, R. A. (1983) · Elsevier eBooks · doi:10.1016/c2009-0-21901-5 · Cited by 482

A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images

Bruzzone, L., & Carlin, L. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.875360 · Cited by 388

A Novel Ranking-Based Clustering Approach for Hyperspectral Band Selection

Jia, S., Tang, G., Zhu, J., & Li, Q. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2450759 · Cited by 385

Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery

Moser, G., & Serpico, S. B. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.876288 · Cited by 353

An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images

Shen, H., Meng, X., & Zhang, L. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2596290 · Cited by 350

Contribution of Alaskan glaciers to sea-level rise derived from satellite imagery

Berthier, É., Schiefer, E., Clarke, G. K. C., Menounos, B., & Rémy, F. (2010) · Nature Geoscience · doi:10.1038/ngeo737 · Cited by 334

Multiple Classifier System for Remote Sensing Image Classification: A Review

Du, P., Xia, J., We, Z., Tan, K., Liu, Y., & Liu, S. (2012) · Sensors · doi:10.3390/s120404764 · Cited by 309

Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability

Drumetz, L., Veganzones, M. A., Henrot, S., Phlypo, R., Chanussot, J., & Jutten, C. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2579259 · Cited by 271

Bias-compensated RPCs for Sensor Orientation of High-resolution Satellite Imagery

Fraser, C. S., & Hanley, H. B. (2005) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.71.8.909 · Cited by 260

A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery

Zhang, L., Huang, X., Huang, B., & Li, P. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.876704 · Cited by 210

Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets

Pálsson, F., Sveinsson, J. R., Ulfarsson, M. O., & Benediktsson, J. A. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2363477 · Cited by 195

Context-Adaptive Pansharpening Based on Image Segmentation

Restaino, R., Mura, M. D., Vivone, G., & Chanussot, J. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2614367 · Cited by 171

A refined gamma MAP SAR speckle filter with improved geometrical adaptivity

Baraldi, A., & Parmiggiani, F. (1995) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.469489 · Cited by 156

Remote Sensing Image Segmentation by Combining Spectral and Texture Features

Yuan, J., Wang, D., & Li, R. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2012.2234755 · Cited by 153

Free and Open Source GIS Software for Building a Spatial Data Infrastructure

Steiniger, S., & Hunter, A. J. S. (2011) · Lecture notes in geoinformation and cartography · doi:10.1007/978-3-642-10595-1_15 · Cited by 137

Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization

Gillis, N., Kuang, D., & Park, H. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2352857 · Cited by 130

Unsupervised image-set clustering using an information theoretic framework

Goldberger, J., Gordon, S., & Greenspan, H. K. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2005.860593 · Cited by 127

Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability

Drumetz, L., Henrot, S., Veganzones, M. A., Chanussot, J., & Jutten, C. (2015) · Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing · doi:10.1109/whispers.2015.8075417 · Cited by 126

A Moving Weighted Harmonic Analysis Method for Reconstructing High-Quality SPOT VEGETATION NDVI Time-Series Data

Yang, G., Shen, H., Zhang, L., He, Z., & Li, X. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2431315 · Cited by 109

An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications

Frantz, D., Röder, A., Stellmes, M., & Hill, J. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2530856 · Cited by 103

High-Resolution Image Classification Integrating Spectral-Spatial-Location Cues by Conditional Random Fields

Zhao, J. J., Zhong, Y., Shu, H., & Zhang, L. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2577886 · Cited by 102

Remote Sensing Image Processing

Camps-Valls, G., Tuia, D., Gómez‐Chova, L., Jiménez, S., & Malo, J. (2011) · Synthesis lectures on image, video, and multimedia processing · doi:10.2200/s00392ed1v01y201107ivm012 · Cited by 100

Fusing Meter-Resolution 4-D InSAR Point Clouds and Optical Images for Semantic Urban Infrastructure Monitoring

Wang, Y., Zhu, X. X., Zeisl, B., & Pollefeys, M. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2554563 · Cited by 89

Hyperspectral Image Resolution Enhancement Using High-Resolution Multispectral Image Based on Spectral Unmixing

Bendoumi, M. A., He, M., & Mei, S. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2298056 · Cited by 82

Spatial Resolution Improvement in GNSS-Based SAR Using Multistatic Acquisitions and Feature Extraction

Santi, F., Bucciarelli, M., Pastina, D., Antoniou, M., & Cherniakov, M. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2583784 · Cited by 81

Correcting Incompatible DN Values and Geometric Errors in Nighttime Lights Time-Series Images

Zhao, N., Zhou, Y., & Samson, E. L. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2352598 · Cited by 77

Multisensor data fusion using fuzzy concepts: application to land-cover classification using ERS-1/JERS-1 SAR composites

Solaiman, B., Pierce, L. E., & Ulaby, F. T. (1999) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.763295 · Cited by 77

The Radiometric Stability and Scaling of Collection 6 Terra- and Aqua-MODIS VIS, NIR, and SWIR Spectral Bands

Doelling, D. R., Wu, A., Xiong, X. J., Scarino, B. R., Bhatt, R., Haney, C. O., Morstad, D. L., & Gopalan, A. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2400928 · Cited by 76

Two-Dimensional TSVD to Enhance the Spatial Resolution of Radiometer Data

Lenti, F., Nunziata, F., Migliaccio, M., & Rodriguez, G. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2261303 · Cited by 71

Methods of analyzing traffic imagery collected from aerial platforms

Angel, A., Hickman, M. D., Mirchandani, P., & Chandnani, D. (2003) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2003.821208 · Cited by 71

Correction of Atmospheric Phase Screen in Time Series InSAR Using WRF Model for Monitoring Volcanic Activities

Jung, J., Kim, D., & Park, S.-E. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2264532 · Cited by 71

Estimation of Urban Green Volume Based on Single-Pulse LiDAR Data

Hecht, R., Meinel, G., & Buchroithner, M. F. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2001771 · Cited by 69

SAR Image Denoising via Clustering-Based Principal Component Analysis

Xu, L., Li, J., Shu, Y., & Peng, J. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2304298 · Cited by 67

Bag-of-Visual-Words Based on Clonal Selection Algorithm for SAR Image Classification

Feng, J., Jiao, L., Zhang, X., & Yang, D. (2011) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2010.2100363 · Cited by 63

Surface Current Measurements Using X-Band Marine Radar With Vertical Polarization

Huang, W., Carrasco, R., Shen, C., Gill, E. W., & Horstmann, J. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2509781 · Cited by 60

Classifying Compound Structures in Satellite Images: A Compressed Representation for Fast Queries

Gueguen, L. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2348864 · Cited by 57

Overview of the PolSARpro V4.0 software. the open source toolbox for polarimetric and interferometric polarimetric SAR data processing

Pottier, É., Ferro-Famil, L., Allain, S., Cloude, S. R., Hajnsek, I., Papathanassiou, K., Moreira, A., Williams, M., Minchella, A., Lavalle, M., et al. (2009) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2009.5417532 · Cited by 54

Soft Computing for Data Mining Applications

Venugopal, K. R., Srinivasa, K. G., Patnaik, L. M., & Kacprzyk, J. (2009) · Studies in computational intelligence · doi:10.1007/978-3-642-00193-2 · Cited by 50

Retrieval of Leaf, Sunlit Soil, and Shaded Soil Component Temperatures Using Airborne Thermal Infrared Multiangle Observations

Bian, Z., Xiao, Q., Cao, B., Du, Y., Li, H., Wang, H., Liu, Q., & Liu, Q. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2547961 · Cited by 49

Spatial-Resolution Enhancement of SMOS Data: A Deconvolution-Based Approach

Piles, M., Camps, A., Vall-llossera, M., & Talone, M. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2013635 · Cited by 49

Dynamic Association Rule Mining using Genetic Algorithms

Shenoy, P. D., Srinivasa, K. G., Venugopal, K. R., & Patnaik, L. M. (2005) · Intelligent Data Analysis · doi:10.3233/ida-2005-9503 · Cited by 47

FLEX: ESA's Earth Explorer 8 candidate mission

Kraft, S., Bello, U. D., Bouvet, M., Drusch, M., & Moreno, J. (2012) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2012.6352020 · Cited by 46

Local Spectral Component Decomposition for Multi-Channel Image Denoising

Rizkinia, M., Baba, T., Shirai, K., & Okuda, M. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2561320 · Cited by 44

Automatic Enhancement and Detection of Layering in Radar Sounder Data Based on a Local Scale Hidden Markov Model and the Viterbi Algorithm

Carrer, L., & Bruzzone, L. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2616949 · Cited by 44

All-Directions Through-the-Wall Radar Imaging Using a Small Number of Moving Transceivers

Yektakhah, B., & Sarabandi, K. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2585112 · Cited by 42

Atmospheric Correction at AERONET Locations: A New Science and Validation Data Set

Yujie Wang, A., Lyapustin, A., Privette, J. L., Morisette, J. T., & HOLBEN, B. N. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2016334 · Cited by 41

Joint Enhancing Filtering for Road Network Extraction

Zang, Y., Zang, Y., Yao, Y., Luo, L., Yang, K., & Li, J. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2626378 · Cited by 41

Radiometric Correction of Airborne Radar Images Over Forested Terrain With Topography

Simard, M., Riel, B. V., Denbina, M., & Hensley, S. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2543142 · Cited by 38

Airborne and spaceborne DEM- and laser altimetry-derived surface elevation and volume changes of the Bering Glacier system, Alaska, USA, and Yukon, Canada, 1972–2006

Muskett, R. R., Lingle, C. S., Sauber, J., Post, A. S., Tangborn, W. V., Rabus, B., & Echelmeyer, K. A. (2009) · Journal of Glaciology · doi:10.3189/002214309788608750 · Cited by 38

Fast Closed-Form Matting Using a Hierarchical Data Structure

Xiao, C., Liu, M., Xiao, D., Dong, Z., & Ma, K. (2013) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2013.2276153 · Cited by 36

Automatic Image Segmentation using Wavelets

Sateesh Kumar, H. C., Raja, K., Venugopal, K. R., & Patnaik, L. M. (2009) · ePrints@Bangalore University (Bangalore University) · Cited by 34

Conjugate Gradient Method in Hilbert and Banach Spaces to Enhance the Spatial Resolution of Radiometer Data

Lenti, F., Nunziata, F., Estatico, C., & Migliaccio, M. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2458014 · Cited by 33

Contextual and Hierarchical Classification of Satellite Images Based on Cellular Automata

Espínola, M., Piedra-Fernandez, J. A., Ayala, R., Iribarne, L., & Wang, J. Z. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2328634 · Cited by 33

Multiresolution Supervised Classification of Panchromatic and Multispectral Images by Markov Random Fields and Graph Cuts

Moser, G., Giorgi, A. D., & Serpico, S. B. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2547027 · Cited by 33

Real-Time Atmospheric Correction of AVIRIS-NG Imagery

Bue, B., Thompson, D. R., Eastwood, M. L., Green, R. O., Gao, B., Keymeulen, D., Sarture, C. M., Mazer, A. S., & Luong, H. H. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2439215 · Cited by 32

Accuracy Assessment of Digital Elevation Models Generated Using the Erdas Imagine Orthomax Digital Photogrammetric System

Gooch, M. J., Chandler, J. H., & Stojić, M. (1999) · The Photogrammetric Record · doi:10.1111/0031-868x.00140 · Cited by 32

Synthetic Images for Evaluating Topographic Correction Algorithms

Sola, I., González-Audícana, M., Álvarez‐Mozos, J., & Torres, J. L. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2255296 · Cited by 32

Variational Region-Based Segmentation Using Multiple Texture Statistics

Karoui, I., Fablet, R., Boucher, J.-M., & Augustin, J.-M. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2071290 · Cited by 32

Compositing the Minimum NDVI for MODIS Data

Liu, R. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2623746 · Cited by 30

Dynamic Object Detection, Tracking and Counting in Video Streams for Multimedia Mining

Vibha, L., Hegde, C., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2008) · ePrints@Bangalore University (Bangalore University) · Cited by 28

Enhancing Hyperspectral Endmember Extraction Using Clustering and Oversegmentation-Based Preprocessing

Kowkabi, F., Ghassemian, H., & Keshavarz, A. (2016) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2016.2539286 · Cited by 25

An Inquiry on Contrast Enhancement Methods for Satellite Images

Lisani, J.-L., Michel, J., Morel, J., Petro, A. B., & Sbert, C. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2594339 · Cited by 24

Learning-Based Superresolution Land Cover Mapping

Ling, F., Zhang, Y., Foody, G. M., Li, X., Zhang, X., Fang, S., Li, W., & Du, Y. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2527841 · Cited by 24

A Data Mining Approach for Data Generation and Analysis for Digital Forensic Application

Bhat, V. H., Rao, P. G., Abhilash, R. V., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2010) · International Journal of Engineering and Technology · doi:10.7763/ijet.2010.v2.140 · Cited by 23

Assessing the Application of Cloud–Shadow Atmospheric Correction Algorithm on HICO

Amin, R., Lewis, D., Gould, R., Hou, W. W., Lawson, A., Ondrusek, M. E., & Arnone, R. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2264166 · Cited by 21

A shape–size index extraction for classification of high resolution multispectral satellite images

Han, Y., Kim, H., Choi, J., & Kim, Y. (2011) · International Journal of Remote Sensing · doi:10.1080/01431161.2011.599348 · Cited by 19

Graph-Based Mapping of Urban Structure Types From High-Resolution Satellite Image Objects—Case Study of the German Cities Rostock and Erfurt

Walde, I., Hese, S., Berger, C. R., & Schmullius, C. (2013) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2013.2252323 · Cited by 18

Automated Geometric Correction of Landsat MSS L1G Imagery

Devaraj, C., & Shah, C. A. (2013) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2013.2257677 · Cited by 16

Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm

Mylonas, S., Stavrakoudis, D. G., Theocharis, J. B., & Mastorocostas, P. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2421640 · Cited by 16

Generic Feature Extraction for Classification using Fuzzy C - Means Clustering

Srinivasa, K. G., Singh, A., Thomas, A. O., Venugopal, K. R., & Patnaik, L. M. (2005) · International Conference on Intelligent Sensing and Information Processing · doi:10.1109/icisip.2005.1619409 · Cited by 16

A color clustering technique for image segmentation

Çelenk, M. (1990) · Computer Vision Graphics and Image Processing · doi:10.1016/0734-189x(90)90009-k · Cited by 16

Spatiotemporal Data Fusion Using Temporal High-Pass Modulation and Edge Primitives

Rao, J. M., Rao, C. V., Kumar, A., Lakshmi, B., & Dadhwal, V. K. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2422712 · Cited by 14

Estimate of Tidal Constituents in Nearshore Waters Using X-Band Marine Radar Image Sequences

Chen, Z., Pan, J., He, Y., & Devlin, A. T. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2587820 · Cited by 12

Feature Level Fusion Based Bimodal Biometric Using Transformation Domine Techniques

Ramachandra, A. C. (2012) · IOSR Journal of Computer Engineering · doi:10.9790/0661-0333946 · Cited by 11

Supervised Segmentation of Remote Sensing Image Using Reference Descriptor

Mei, T., An, L., & Li, Q. (2014) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2014.2368552 · Cited by 10

Lesion detection using segmentation and classification of mammograms

Vibha, L., Harshavardhan, G., Pranaw, K., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2007) · Conference on Artificial Intelligence for Applications · Cited by 8

Simulation of Airborne Radiometric Detection of Wake Vortices

Daniels, T., Smith, W. L., & Kireev, S. V. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2436215 · Cited by 7

Land Cover Classification for Remote Sensing Imagery Using Conditional Texton Forest With Historical Land Cover Map

Lei, Z., Fang, T., & Li, D. (2011) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2010.2103045 · Cited by 7

Performance analysis of segmentation techniques for land cover types using remote sensing images

Bharathi, S., Shreyas, V. J., Anirudh, R. P., Sanketh, S. M., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2012) · IEEE India Conference · doi:10.1109/indcon.2012.6420721 · Cited by 6

Optimizing Object, Atmosphere, and Sensor Parameters in Thermal Hyperspectral Imagery

Ahlberg, J. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2613685 · Cited by 5

Digital Elevation Model Generation Over Glacierized Region

Toutin, T. (2011) · Encyclopedia of earth sciences series/Encyclopedia of earth sciences · doi:10.1007/978-90-481-2642-2_112 · Cited by 3

A novel decision fusion approach to improving classification accuracy of hyperspectral images

Görmüş, E. T., Canagarajah, N. C., & Achim, A. (2012) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2012.6351696 · Cited by 2

A geometric parameter extraction method of ship target based on an improved snake model

Zhang, X., Xiong, B., Kuang, G., & Xu, W. H. (2016) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2016.7729815 · Cited by 1

Applications and Challenges of Artificial Intelligence in Space Missions

Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68

Geospatial-based machine learning techniques for land use and land cover mapping using a high-resolution unmanned aerial vehicle image

Mollick, T., Azam, M. G., & Karim, S. (2022) · Remote Sensing Applications Society and Environment · doi:10.1016/j.rsase.2022.100859 · Cited by 51

Deep Transfer Learning Technique for Multimodal Disease Classification in Plant Images

Balaji, V., Anushkannan, N. K., Narahari, S. C., Rattan, P., Verma, D., Awasthi, D. K., Pandian, A. A., Veeramanickam, M. R. M., & Mulat, M. B. (2023) · Contrast Media & Molecular Imaging · doi:10.1155/2023/5644727 · Cited by 42

Effect of Climate Change on Wetland Areas in West Iraq Using Satellite Data and GIS Techniques

Hassan, W. H., Khazaal, S. T., & Alshammari, M. H. (2024) · Civil Engineering Journal · doi:10.28991/cej-2024-010-09-013 · Cited by 40

Scenario-Based LULC Dynamics Projection Using the CA–Markov Model on Upper Awash Basin (UAB), Ethiopia

Gebresellase, S. H., Wu, Z., Xu, H., & Muhammad, W. I. (2023) · Sustainability · doi:10.3390/su15021683 · Cited by 31

A Comprehensive Analysis of Remote Sensing Satellite Image Processing TechniquesPreprint

Venkataraman, N. L., & Gautam, G. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5076087 · Cited by 3

Design of image processing technique in digital enhancement application

Sharma, B., & Dadwal, J. (2015) · International Journal of Advances in Scientific Research · doi:10.7439/ijasr.v1i8.2463 · Cited by 4

DIGITAL IMAGE PROCESSING Minakshi Kumar

(2015)

Digital Image Processing: Principles and Applications

Reddy, G. P. O. (2018) · Geotechnologies and the environment · doi:10.1007/978-3-319-78711-4_6 · Cited by 27

Remote sensing image analysis techniques

D�zg�n, H. S. (2011) · CRC Press eBooks · doi:10.1201/b11460-7