Fully Polarimetric Land Cover Classification Based on Markov Chains

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ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

"Fully Polarimetric Land Cover Classification Based on Markov Chains"
written by Georgia Koukiou, Vassilis Anastassopoulos,
published by Advances in Remote Sensing, Vol.10 No.3, 2021

has been cited by the following article(s):

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[2]	Urban Area Mapping Using Multitemporal SAR Images in Combination with Self-Organizing Map Clustering and Object-Based Image Analysis
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[4]	Coupled Heterogeneous Tucker Decomposition: A Feature Extraction Method for Multisource Fusion and Domain Adaptation Using Multisource Heterogeneous …
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[5]	Land Cover Classification Based on Double Scatterer Model and Neural Networks
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[1]	PolSAR Cell Information Representation by a Pair of Elementary Scatterers Remote Sensing, 2022 DOI:10.3390/rs14030695

[2]	Coupled Heterogeneous Tucker Decomposition: A Feature Extraction Method for Multisource Fusion and Domain Adaptation Using Multisource Heterogeneous Remote Sensing Data Remote Sensing, 2022 DOI:10.3390/rs14112553

[3]	HARNU-Net: Hierarchical Attention Residual Nested U-Net for Change Detection in Remote Sensing Images Sensors, 2022 DOI:10.3390/s22124626

[4]	Land Cover Classification Based on Double Scatterer Model and Neural Networks Geomatics, 2022 DOI:10.3390/geomatics2030018

[5]	Urban Area Mapping Using Multitemporal SAR Images in Combination with Self-Organizing Map Clustering and Object-Based Image Analysis Remote Sensing, 2022 DOI:10.3390/rs15010122

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