A new search algorithm for feature selection in hyperspectral remote sensing images

S.B. Serpico; L. Bruzzone

doi:10.1109/36.934069

A new search algorithm for feature selection in hyperspectral remote sensing images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.934069 ◽

2001 ◽

Vol 39 (7) ◽

pp. 1360-1367 ◽

Cited By ~ 223

Author(s):

S.B. Serpico ◽

L. Bruzzone

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Search Algorithm ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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Feature selection based on Ant Colony algorithm for hyperspectral remote sensing images

2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing ◽

10.1109/whispers.2010.5594966 ◽

2010 ◽

Cited By ~ 7

Author(s):

Farhad Samadzadegan ◽

Tahmineh Partovi

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Ant Colony Algorithm ◽

Hyperspectral Remote Sensing ◽

Ant Colony ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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A method based on the adaptive cuckoo search algorithm for endmember extraction from hyperspectral remote sensing images

Remote Sensing Letters ◽

10.1080/2150704x.2015.1134844 ◽

2016 ◽

Vol 7 (3) ◽

pp. 289-297 ◽

Cited By ~ 7

Author(s):

Huihui Zhao ◽

Yangming Jiang ◽

Tuo Wang ◽

Weihong Cui ◽

Xiaowen Li

Keyword(s):

Remote Sensing ◽

Search Algorithm ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Hyperspectral Remote Sensing ◽

Endmember Extraction ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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Feature Selection and Classification Based on Ant Colony Algorithm for Hyperspectral Remote Sensing Images

2009 2nd International Congress on Image and Signal Processing ◽

10.1109/cisp.2009.5304614 ◽

2009 ◽

Cited By ~ 14

Author(s):

Shuang Zhou ◽

Jun-ping Zhang ◽

Bao-ku Su

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Ant Colony Algorithm ◽

Hyperspectral Remote Sensing ◽

Ant Colony ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images

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Feature selection of spectral dimension by hyperspectral remote sensing images based on genetic algorithm and support vector machine

10.1117/12.750090 ◽

2007 ◽

Author(s):

Huan Li ◽

Hongxia Luo ◽

Ziyi Zhu

Keyword(s):

Remote Sensing ◽

Genetic Algorithm ◽

Support Vector Machine ◽

Feature Selection ◽

Hyperspectral Remote Sensing ◽

Spectral Dimension ◽

Support Vector ◽

Remote Sensing Images ◽

Hyperspectral Remote Sensing Images ◽

Selection Of

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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 ◽

Rock Types ◽

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 ◽

Cited By ~ 17

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 ◽

Cited By ~ 11

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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