Hyperspectral image classification using fuzzy C-means based composite kernel approach

Fuzzy C Means ◽

Composite Kernel ◽

Kernel Approach

An empirical mode decomposition and composite kernel approach to increase hyperspectral image classification accuracy

2009 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2009.5418230 ◽

2009 ◽

Cited By ~ 5

Author(s):

Begum Demir ◽

Sarp Erturk

Keyword(s):

Image Classification ◽

Empirical Mode Decomposition ◽

Classification Accuracy ◽

Hyperspectral Image ◽

Mode Decomposition ◽

Composite Kernel ◽

Kernel Approach

Texture Profiles and Composite Kernel Frame for Hyperspectral Image Classification

Advances in Brain Inspired Cognitive Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00563-4_31 ◽

2018 ◽

pp. 325-333

Author(s):

Cailing Wang ◽

Hongwei Wang ◽

Jinchang Ren ◽

Yinyong Zhang ◽

Jia Wen ◽

...

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Integrating Spectral and Spatial features for Hyperspectral Image Classification with a Modified Composite Kernel Framework

PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science ◽

10.1007/s41064-019-00080-1 ◽

2019 ◽

Vol 87 (5-6) ◽

pp. 275-296 ◽

Cited By ~ 1

Author(s):

Shashi Ranjan ◽

Jignesh N. Sarvaiya ◽

Jigisha N. Patel

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Spatial Features ◽

Multiple composite kernel learning for hyperspectral image classification

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8127430 ◽

2017 ◽

Cited By ~ 2

Author(s):

Peijun Du ◽

Junshi Xia ◽

Pedram Ghamisi ◽

Akira Iwasaki ◽

Jon Atli Benediktsson

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Kernel Learning ◽

Hyperspectral image classification using spatial features extracted by fuzzy C-Means and Dirichlet Mixture Model

2016 24th Signal Processing and Communication Application Conference (SIU) ◽

10.1109/siu.2016.7495885 ◽

2016 ◽

Author(s):

Ibrahim Onur Sigirci ◽

Gokhan Bilgin

Keyword(s):

Image Classification ◽

Mixture Model ◽

Hyperspectral Image ◽

Fuzzy C Means ◽

Spatial Features ◽

Dirichlet Mixture

An automatic method to determine the coefficient of the composite kernel for hyperspectral image classification

2011 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2011.6049563 ◽

2011 ◽

Author(s):

I-Ling Chen ◽

Kai-Chih Pai ◽

Jinn-Min Yang ◽

Bor-Chen Kuo

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Automatic Method ◽

Generalized Composite Kernel Framework for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2012.2230268 ◽

2013 ◽

Vol 51 (9) ◽

pp. 4816-4829 ◽

Cited By ~ 307

Author(s):

Jun Li ◽

Prashanth Reddy Marpu ◽

Antonio Plaza ◽

Jose M. Bioucas-Dias ◽

Jon Atli Benediktsson

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral image classification based on composite kernel relevance vector machine

Journal of Physics Conference Series ◽

10.1088/1742-6596/1976/1/012006 ◽

2021 ◽

Vol 1976 (1) ◽

pp. 012006

Author(s):

Cheng Sun ◽

Donghao Liu ◽

Jie Guo Han ◽

Bei Yang ◽

Zhaoxiang Cheng

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Relevance Vector Machine ◽

Composite kernel learning network for hyperspectral image classification

International Journal of Remote Sensing ◽

10.1080/01431161.2021.1934599 ◽

2021 ◽

Vol 42 (16) ◽

pp. 6068-6091

Author(s):

Zhe Wu ◽

Jianjun Liu ◽

Jinlong Yang ◽

Zhiyong Xiao ◽

Liang Xiao

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Kernel Learning ◽

Learning Network ◽

Support vector machine with adaptive composite kernel for hyperspectral image classification

10.1117/12.2178012 ◽

2015 ◽

Cited By ~ 3

Author(s):

Wei Li ◽

Qian Du

Keyword(s):

Support Vector Machine ◽

Image Classification ◽

Hyperspectral Image ◽

Support Vector ◽

Composite Kernel ◽

Adaptive Composite