<title>Combined intensity and fractal information for neural classification of remote sensing imagery</title>

Decision tree classification of hyperspectral remote sensing imagery based on independent component analysis

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.00524 ◽

2013 ◽

Vol 32 (2) ◽

pp. 524-527

Author(s):

Zhi-lei LIN ◽

Lu-ming YAN

Keyword(s):

Remote Sensing ◽

Independent Component Analysis ◽

Decision Tree ◽

Component Analysis ◽

Hyperspectral Remote Sensing ◽

Independent Component ◽

Remote Sensing Imagery ◽

Decision Tree Classification

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Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

Remote Sensing ◽

10.3390/rs71114680 ◽

2015 ◽

Vol 7 (11) ◽

pp. 14680-14707 ◽

Cited By ~ 513

Author(s):

Fan Hu ◽

Gui-Song Xia ◽

Jingwen Hu ◽

Liangpei Zhang

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

High Resolution ◽

Convolutional Neural Networks ◽

Scene Classification ◽

Deep Convolutional Neural Networks ◽

Remote Sensing Imagery

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A Generalized Image Scene Decomposition-Based System for Supervised Classification of Very High Resolution Remote Sensing Imagery

Remote Sensing ◽

10.3390/rs8100814 ◽

2016 ◽

Vol 8 (10) ◽

pp. 814 ◽

Cited By ~ 4

Author(s):

ZhiYong Lv ◽

Haiqing He ◽

Jón Benediktsson ◽

Hong Huang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Supervised Classification ◽

Remote Sensing Imagery ◽

Very High

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Classification of Hyper Spectral Remote Sensing Imagery Using Intrinsic Parameter Estimation

Advances in Intelligent Systems and Computing - Intelligent Systems Design and Applications ◽

10.1007/978-3-030-16660-1_83 ◽

2019 ◽

pp. 852-862 ◽

Cited By ~ 3

Author(s):

L. N. P. Boggavarapu ◽

Prabukumar Manoharan

Keyword(s):

Remote Sensing ◽

Parameter Estimation ◽

Intrinsic Parameter ◽

Remote Sensing Imagery ◽

Hyper Spectral

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Transferring Deep Belief Networks for the Classification of LANDSAT8 Remote Sensing Imagery

Journal of Physics Conference Series ◽

10.1088/1742-6596/1544/1/012106 ◽

2020 ◽

Vol 1544 ◽

pp. 012106

Author(s):

Qingqing Zou ◽

Chen Chen

Keyword(s):

Remote Sensing ◽

Belief Networks ◽

Deep Belief Networks ◽

Remote Sensing Imagery

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An outlier generation approach for one-class random forests: An example in one-class classification of remote sensing imagery

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2016.7730331 ◽

2016 ◽

Author(s):

Zhongkui Shi ◽

Peijun Li ◽

Yi Sun

Keyword(s):

Remote Sensing ◽

Random Forests ◽

Remote Sensing Imagery ◽

One Class Classification

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Semisupervised pixel classification of remote sensing imagery using transductive SVM

2011 International Conference on Recent Trends in Information Systems ◽

10.1109/retis.2011.6146835 ◽

2011 ◽

Cited By ~ 3

Author(s):

Debasis Chakraborty ◽

Ujjwal Maulik

Keyword(s):

Remote Sensing ◽

Pixel Classification ◽

Remote Sensing Imagery

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ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery

Sensors ◽

10.3390/s18030780 ◽

2018 ◽

Vol 18 (3) ◽

pp. 780

Author(s):

Na Li ◽

Zhaopeng Xu ◽

Huijie Zhao ◽

Xinchen Huang ◽

Zhenhong Li ◽

...

Keyword(s):

Remote Sensing ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Imagery

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Research and Application Of Sparse Representation Classification of Remote Sensing Imagery Based on Multi-Feature Modeling

2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2018.8747050 ◽

2018 ◽

Author(s):

Yaoyao Liu ◽

Chunmei Zhang ◽

Kai Yang ◽

Jianguo Wei

Keyword(s):

Remote Sensing ◽

Sparse Representation ◽

Feature Modeling ◽

Remote Sensing Imagery ◽

Sparse Representation Classification

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The Classification of Land Cover Derived from High Resolution Remote Sensing Imagery

2011 Fourth International Conference on Intelligent Computation Technology and Automation ◽

10.1109/icicta.2011.472 ◽

2011 ◽

Cited By ~ 2

Author(s):

Xia Jun ◽

Liu Jinmei ◽

Wang Guoyu ◽

Li Jizhong

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Land Cover ◽

Remote Sensing Imagery

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