Determining noise in hyperspectral imagery for the application of oversampling to supervised classification

Supervised classification of snow cover using hyperspectral imagery

2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT) ◽

10.1109/icetcct.2017.8280302 ◽

2017 ◽

Cited By ~ 2

Author(s):

Divyesh Varade ◽

Ajay K Maurya ◽

Anudeep Sure ◽

Onkar Dikshit

Keyword(s):

Snow Cover ◽

Supervised Classification ◽

Hyperspectral Imagery

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An efficient semi-supervised classification approach for hyperspectral imagery

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2014.08.003 ◽

2014 ◽

Vol 97 ◽

pp. 36-45 ◽

Cited By ~ 41

Author(s):

Kun Tan ◽

Erzhu Li ◽

Qian Du ◽

Peijun Du

Keyword(s):

Supervised Classification ◽

Hyperspectral Imagery ◽

Classification Approach

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Semi-supervised classification for hyperspectral imagery based on spatial-spectral Label Propagation

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2014.08.016 ◽

2014 ◽

Vol 97 ◽

pp. 123-137 ◽

Cited By ~ 50

Author(s):

Liguo Wang ◽

Siyuan Hao ◽

Qunming Wang ◽

Ying Wang

Keyword(s):

Supervised Classification ◽

Hyperspectral Imagery ◽

Label Propagation

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Semi-supervised classification of hyperspectral imagery based on stacked autoencoders

10.1117/12.2245011 ◽

2016 ◽

Cited By ~ 3

Author(s):

Qiongying Fu ◽

Xuchu Yu ◽

Xiangpo Wei ◽

Zhixiang Xue

Keyword(s):

Supervised Classification ◽

Hyperspectral Imagery ◽

Stacked Autoencoders

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Label propagation–based semi-supervised classification for hyperspectral imagery

Information Science and Management Engineering II (Set) ◽

10.2495/isme20141481 ◽

2014 ◽

Cited By ~ 1

Author(s):

Siyuan Hao ◽

Liguo Wang

Keyword(s):

Supervised Classification ◽

Hyperspectral Imagery ◽

Label Propagation

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Fuzzy decision tree model adaptation to multi- and hyperspectral imagery supervised classification

The International Conference on Digital Technologies 2013 ◽

10.1109/dt.2013.6566311 ◽

2013 ◽

Cited By ~ 1

Author(s):

Sergey Stankevich ◽

Vitaly Levashenko ◽

Elena Zaitseva

Keyword(s):

Decision Tree ◽

Supervised Classification ◽

Hyperspectral Imagery ◽

Decision Tree Model ◽

Model Adaptation ◽

Fuzzy Decision ◽

Fuzzy Decision Tree ◽

Tree Model

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Performance of Supervised Classification Algorithms of Hyperspectral Imagery for Identifying Fecal and Ingesta Contaminants

Transactions of the ASABE ◽

10.13031/2013.22282 ◽

2006 ◽

Vol 49 (6) ◽

pp. 2017-2024 ◽

Cited By ~ 2

Author(s):

B. Park ◽

K. C. Lawrence ◽

W. R. Windham ◽

D. P. Smith

Keyword(s):

Supervised Classification ◽

Hyperspectral Imagery ◽

Classification Algorithms

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Spectral/spatial annealing of hyperspectral imagery initialized by a supervised classification method

10.1117/12.478757 ◽

2002 ◽

Author(s):

Robert S. Rand

Keyword(s):

Supervised Classification ◽

Hyperspectral Imagery ◽

Classification Method

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Applying class-based feature extraction approaches for supervised classification of hyperspectral imagery

Canadian Journal of Remote Sensing ◽

10.5589/m07-018 ◽

2007 ◽

Vol 33 (3) ◽

pp. 162-175 ◽

Cited By ~ 2

Author(s):

Xin Miao ◽

Peng Gong ◽

Ruiliang Pu ◽

Raymond I Carruthers ◽

Jill S Heaton

Keyword(s):

Feature Extraction ◽

Supervised Classification ◽

Hyperspectral Imagery

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Accuracy Evaluation of Supervised Classification by Using Morphological Attribute Profiles and Additional Band of Hyperspectral Imagery

Journal of Korean Society for Geospatial Information System ◽

10.7319/kogsis.2017.25.1.009 ◽

2017 ◽

Vol 25 (1) ◽

pp. 9-17

Author(s):

Hong Lyun Park ◽

Jae Wan Choi

Keyword(s):

Supervised Classification ◽

Hyperspectral Imagery ◽

Accuracy Evaluation ◽

Additional Band ◽

Morphological Attribute

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