ROUGH SET BASED FEATURE SELECTION FOR CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY

Computational Intelligence ◽

10.1142/9789814324700_0115 ◽

2010 ◽

Author(s):

ZHAOCONG WU ◽

YUN XIANG ◽

LINA YI ◽

GUIFENG ZHANG

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Spatial Resolution ◽

Rough Set ◽

High Spatial Resolution ◽

Remote Sensing Imagery ◽

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A benchmark for scene classification of high spatial resolution remote sensing imagery

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7326956 ◽

2015 ◽

Author(s):

Jingwen Hu ◽

Tianbi Jiang ◽

Xinyi Tong ◽

Gui-Song Xia ◽

Liangpei Zhang

Keyword(s):

Remote Sensing ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Scene Classification ◽

Remote Sensing Imagery

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SVM-based soft classification of urban tree species using very high-spatial resolution remote-sensing imagery

International Journal of Remote Sensing ◽

10.1080/01431161.2016.1178867 ◽

2016 ◽

Vol 37 (11) ◽

pp. 2541-2559 ◽

Author(s):

Jianhua Zhou ◽

Jun Qin ◽

Kai Gao ◽

Hanbing Leng

Keyword(s):

Remote Sensing ◽

Spatial Resolution ◽

Tree Species ◽

High Spatial Resolution ◽

Remote Sensing Imagery ◽

Very High Spatial Resolution ◽

Soft Classification ◽

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Classification of remote sensing imagery with high spatial resolution

10.1117/12.637224 ◽

2005 ◽

Author(s):

Mathieu Fauvel ◽

Jon Aevar Palmason ◽

Jon Atli A. Benediktsson ◽

Jocelyn Chanussot ◽

Johannes R. Sveinsson

Keyword(s):

Remote Sensing ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Remote Sensing Imagery

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Classification of Urban Building Type from High Spatial Resolution Remote Sensing Imagery Using Extended MRS and Soft BP Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2017.2686422 ◽

2017 ◽

Vol 10 (8) ◽

pp. 3515-3528 ◽

Author(s):

Junfei Xie ◽

Jianhua Zhou

Keyword(s):

Remote Sensing ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Remote Sensing Imagery ◽

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An Energy-Driven Total Variation Model for Segmentation and Classification of High Spatial Resolution Remote-Sensing Imagery

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2012.2194694 ◽

2013 ◽

Vol 10 (1) ◽

pp. 125-129 ◽

Author(s):

Qian Zhang ◽

Xin Huang ◽

Liangpei Zhang

Keyword(s):

Remote Sensing ◽

Total Variation ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Remote Sensing Imagery ◽

Total Variation Model ◽

Variation Model

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A Comparative Study of Sampling Analysis in the Scene Classification of Optical High-Spatial Resolution Remote Sensing Imagery

Remote Sensing ◽

10.3390/rs71114988 ◽

2015 ◽

Vol 7 (11) ◽

pp. 14988-15013 ◽

Author(s):

Jingwen Hu ◽

Gui-Song Xia ◽

Fan Hu ◽

Liangpei Zhang

Keyword(s):

Remote Sensing ◽

Comparative Study ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Scene Classification ◽

Remote Sensing Imagery

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Using MRF approach to wetland classification of high spatial resolution remote sensing imagery: A case study in Xixi Westland National Park, Hangzhou, China

2010 Second IITA International Conference on Geoscience and Remote Sensing ◽

10.1109/iita-grs.2010.5602662 ◽

2010 ◽

Author(s):

Yang W ◽

Chunhui Wang ◽

Le Yu ◽

Dengrong Zhang

Keyword(s):

Remote Sensing ◽

Spatial Resolution ◽

National Park ◽

High Spatial Resolution ◽

Wetland Classification ◽

Remote Sensing Imagery

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Feature selection using rough set theory for object-oriented classification of remote sensing imagery

2012 20th International Conference on Geoinformatics ◽

10.1109/geoinformatics.2012.6270343 ◽

2012 ◽

Author(s):

Guifeng Zhang ◽

Lina Yi

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Rough Set ◽

Rough Set Theory ◽

Object Oriented ◽

Remote Sensing Imagery

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Multiscale U-Shaped CNN Building Instance Extraction Framework With Edge Constraint for High-Spatial-Resolution Remote Sensing Imagery

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.3022410 ◽

2020 ◽

pp. 1-15

Author(s):

Yuanyuan Liu ◽

Dingyuan Chen ◽

Ailong Ma ◽

Yanfei Zhong ◽

Fang Fang ◽

...

Keyword(s):

Remote Sensing ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Remote Sensing Imagery

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Change detection based on structural conditional random field framework for high spatial resolution remote sensing imagery

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

10.1109/igarss.2017.8127138 ◽

2017 ◽

Author(s):

Pengyuan Lv ◽

Yanfei Zhong ◽

Ji Zhao ◽

Ailong Ma ◽

Liangpei Zhang

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Random Field ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Conditional Random Field ◽

Remote Sensing Imagery

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