Research Advance on Band Selection-Based Dimension Reduction of Hyperspectral Remote Sensing Images

2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering ◽

10.1109/rsete.2012.6260684 ◽

2012 ◽

Author(s):

Yiting Wang ◽

Shiqi Huang ◽

Daizhi Liu ◽

Baihe Wang

Keyword(s):

Remote Sensing ◽

Dimension Reduction ◽

Hyperspectral Remote Sensing ◽

Band Selection ◽

Remote Sensing Images ◽

Research Advance ◽

Hyperspectral Remote Sensing Images

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Classification of hyperspectral remote sensing images using different dimension reduction methods with 3D/2D CNN

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2022.100694 ◽

2022 ◽

pp. 100694

Author(s):

Hüseyin Firat ◽

Mehmet Emin Asker ◽

Davut Hanbay

Keyword(s):

Remote Sensing ◽

Dimension Reduction ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Reduction Methods ◽

Hyperspectral Remote Sensing Images

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A restrictive polymorphic ant colony algorithm for the optimal band selection of hyperspectral remote sensing images

International Journal of Remote Sensing ◽

10.1080/01431161.2019.1655810 ◽

2019 ◽

Vol 41 (3) ◽

pp. 1093-1117 ◽

Author(s):

Xiaohui Ding ◽

Shuqing Zhang ◽

Huapeng Li ◽

Peng Wu ◽

Patricia Dale ◽

...

Keyword(s):

Remote Sensing ◽

Ant Colony Algorithm ◽

Hyperspectral Remote Sensing ◽

Band Selection ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images ◽

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Band selection based gaussian processes for hyperspectral remote sensing images classification

2009 16th IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2009.5414494 ◽

2009 ◽

Author(s):

Futian Yao ◽

Yuntao Qian

Keyword(s):

Remote Sensing ◽

Gaussian Processes ◽

Hyperspectral Remote Sensing ◽

Band Selection ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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A Low-Complexity Approach for the Color Display of Hyperspectral Remote-Sensing Images Using One-Bit-Transform-Based Band Selection

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2008.2001553 ◽

2009 ◽

Vol 47 (1) ◽

pp. 97-105 ◽

Author(s):

Begum Demir ◽

Anil Celebi ◽

Sarp Erturk

Keyword(s):

Remote Sensing ◽

Low Complexity ◽

Hyperspectral Remote Sensing ◽

Band Selection ◽

Remote Sensing Images ◽

Color Display ◽

Hyperspectral Remote Sensing Images

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Hyperspectral Remote Sensing Images Classification Using Fully Convolutional Neural Network

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus) ◽

10.1109/elconrus51938.2021.9396673 ◽

2021 ◽

Author(s):

Nyan Linn Tun ◽

Alexander Gavrilov ◽

Naing Min Tun ◽

Do Minh Trieu ◽

Htet Aung

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Convolutional Neural Network ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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3D Expansion of SRCNN for Spatial Enhancement of Hyperspectral Remote Sensing Images

10.1109/icspis53734.2021.9652420 ◽

2021 ◽

Author(s):

Nour Aburaed ◽

Mohammed Q. Alkhatib ◽

Stephen Marshall ◽

Jaime Zabalza ◽

Hussain Al Ahmad

Keyword(s):

Remote Sensing ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images ◽

Spatial Enhancement

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Spectral-Spatial Classification of Hyperspectral Remote Sensing Images Using Minimum Spanning Forest and Markov Random Field Classifier

Journal of Environmental Science Computer Science and Engineering & Technology ◽

10.24214/jecet.a.10.4.67488 ◽

2021 ◽

Vol 10 (4) ◽

Keyword(s):

Remote Sensing ◽

Random Field ◽

Markov Random Field ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Spanning Forest ◽

Markov Random ◽

Minimum Spanning Forest ◽

Hyperspectral Remote Sensing Images

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Analysis of Hyperspectral Remote Sensing Images for Extraction Geological Rock Types Maps by Geospatial Techniques

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/901/1/012016 ◽

2020 ◽

Vol 901 ◽

pp. 012016

Author(s):

Sabah Jaber Hussein ◽

Zainab Fakhri Merzah

Keyword(s):

Remote Sensing ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Geospatial Techniques ◽

Hyperspectral Remote Sensing Images

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Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2874432 ◽

2019 ◽

Vol 30 (6) ◽

pp. 1790-1802 ◽

Author(s):

Jiangtao Peng ◽

Luoqing Li ◽

Yuan Yan Tang

Keyword(s):

Remote Sensing ◽

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Sparse Representation ◽

Likelihood Estimation ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Joint Sparse Representation ◽

Hyperspectral Remote Sensing Images

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Small Sample Classification of Hyperspectral Remote Sensing Images Based on Sequential Joint Deeping Learning Model

IEEE Access ◽

10.1109/access.2020.2986267 ◽

2020 ◽

Vol 8 ◽

pp. 71353-71363 ◽

Author(s):

Zesong Wang ◽

Cui Zou ◽

Weiwei Cai

Keyword(s):

Remote Sensing ◽

Learning Model ◽

Hyperspectral Remote Sensing ◽

Small Sample ◽

Remote Sensing Images ◽

Sample Classification ◽

Hyperspectral Remote Sensing Images

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