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Xing, Haihua, He, Hui, Hu, Dan, Jiang, Tao, Yu, Xianchuan (2019) An interval Type-2 fuzzy sets generation method for remote sensing imagery classification. Computers & Geosciences, 133. 104287 doi:10.1016/j.cageo.2019.06.008

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Reference TypeJournal (article/letter/editorial)
TitleAn interval Type-2 fuzzy sets generation method for remote sensing imagery classification
JournalComputers & Geosciences
AuthorsXing, HaihuaAuthor
He, HuiAuthor
Hu, DanAuthor
Jiang, TaoAuthor
Yu, XianchuanAuthor
Year2019 (December)Volume133
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2019.06.008Search in ResearchGate
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Mindat Ref. ID455979Long-form Identifiermindat:1:5:455979:9
GUID0
Full ReferenceXing, Haihua, He, Hui, Hu, Dan, Jiang, Tao, Yu, Xianchuan (2019) An interval Type-2 fuzzy sets generation method for remote sensing imagery classification. Computers & Geosciences, 133. 104287 doi:10.1016/j.cageo.2019.06.008
Plain TextXing, Haihua, He, Hui, Hu, Dan, Jiang, Tao, Yu, Xianchuan (2019) An interval Type-2 fuzzy sets generation method for remote sensing imagery classification. Computers & Geosciences, 133. 104287 doi:10.1016/j.cageo.2019.06.008
In(2019) Computers & Geosciences Vol. 133. Elsevier BV

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He, Hui, Liang, Tianheng, Hu, Dan, Yu, Xianchuan (2016) Remote sensing clustering analysis based on object-based interval modeling. Computers & Geosciences, 94. 131-139 doi:10.1016/j.cageo.2016.06.006
Jiang, Tao, Hu, Dan, Yu, Xianchuan (2018) Enhanced IT2FCM algorithm using object-based triangular fuzzy set modeling for remote-sensing clustering. Computers & Geosciences, 118. 14-26 doi:10.1016/j.cageo.2018.05.009
He, Hui, Xing, Haihua, Hu, Dan, Yu, Xianchuan (2019) Novel fuzzy uncertainty modeling for land cover classification based on clustering analysis. Science China Earth Sciences, 62 (2) 438-450 doi:10.1007/s11430-017-9224-6
Yu, XianChuan, He, Hui, Hu, Dan, Zhou, Wei (2014) Land cover classification of remote sensing imagery based on interval-valued data fuzzy c-means algorithm. Science China Earth Sciences, 57 (6) 1306-1313 doi:10.1007/s11430-013-4689-z
Xu, Jindong, Yu, Xianchuan, Pei, Wenjing, Hu, Dan, Zhang, Libao (2015) A remote sensing image fusion method based on feedback sparse component analysis. Computers & Geosciences, 85. 115-123 doi:10.1016/j.cageo.2015.09.022
Xu, Jindong, Feng, Guozheng, Zhao, Tianyu, Sun, Xiao, Zhu, Meng (2019) Remote sensing image classification based on semi-supervised adaptive interval type-2 fuzzy c-means algorithm. Computers & Geosciences, 131. 132-143 doi:10.1016/j.cageo.2019.06.005
Sun, Ziheng, Fang, Hui, Di, Liping, Yue, Peng (2016) Realizing parameterless automatic classification of remote sensing imagery using ontology engineering and cyberinfrastructure techniques. Computers & Geosciences, 94. 56-67 doi:10.1016/j.cageo.2016.06.004
Zhan, Ying, Hu, Dan, Xing, Haihua, Yu, Xianchuan (2017) Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density. IEEE Geoscience and Remote Sensing Letters, 14 (12) 2365-2369 doi:10.1109/lgrs.2017.2765339
Silvetti, Andrea F., Delrieux, Claudio A. (2013) Quadratic self-correlation: An improved method for computing local fractal dimension in remote sensing imagery. Computers & Geosciences, 60. 142-155 doi:10.1016/j.cageo.2013.06.008
Ngo, Long Thanh, Mai, Dinh Sinh, Pedrycz, Witold (2015) Semi-supervising Interval Type-2 Fuzzy C-Means clustering with spatial information for multi-spectral satellite image classification and change detection. Computers & Geosciences, 83. 1-16 doi:10.1016/j.cageo.2015.06.011
Zhao, Zhengang, Hu, Dan, Wang, Hao, Yu, Xianchuan (2022) Convolutional Transformer Network for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 19. 1-5 doi:10.1109/lgrs.2022.3169815
 
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