Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification

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

"Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification"
written by Yu Wei, Xicun Zhu, Cheng Li, Xiaoyan Guo, Xinyang Yu, Chunyan Chang, Houxing Sun,
published by Advances in Remote Sensing, Vol.6 No.3, 2017

has been cited by the following article(s):

[1]	BENCHMARKING DEEP REINFORCEMENT LEARNING ALGORITHMS FOR UNSUPERVISED HYPERSPECTRAL BAND SELECTION
	2023

[2]	Hyperspectral band selection via band grouping and adaptive multi-graph constraint
	Remote Sensing, 2022

[3]	Carbon emissions in the field of land use, land use change, and forestry in the Vietnam mainland
	2021

[4]	Advanced Method for Small-Size Targets Detection in Hyperspectral Image
	2018

[1]	Land cover object change monitoring and environmental suitability confirmation in Cat Ba Biosphere Reserve of Vietnam Biodiversity, 2024 DOI:10.1080/14888386.2024.2385975

[2]	Proposing an Unsupervised Method for Extracting Reduced Spectral Features from Hyperspectral Images based on Band Clustering in Endmember Prototype Space Journal of Geospatial Information Technology, 2024 DOI:10.61186/jgit.12.2.43

[3]	Land cover object change monitoring and environmental suitability confirmation in Cat Ba Biosphere Reserve of Vietnam Biodiversity, 2024 DOI:10.1080/14888386.2024.2385975

[4]	Hyperspectral Band Selection via Band Grouping and Adaptive Multi-Graph Constraint Remote Sensing, 2022 DOI:10.3390/rs14174379

[5]	Hyperspectral Band Selection via Band Grouping and Adaptive Multi-Graph Constraint Remote Sensing, 2022 DOI:10.3390/rs14174379

[6]	Carbon emissions in the field of land use, land use change, and forestry in the Vietnam mainland Wetlands Ecology and Management, 2021 DOI:10.1007/s11273-021-09789-6

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