Object-oriented classification of very high-resolution remote sensing imagery based on improved CSC and SVM

Mapping Intimacies ◽

10.1117/12.761237 ◽

2007 ◽

Cited By ~ 1

Author(s):

Haitao Li ◽

Haiyan Gu ◽

Yanshun Han ◽

Jinghui Yang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Object Oriented ◽

Remote Sensing Imagery ◽

Very High

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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 Very High-Resolution Remote Sensing Imagery Using a Fully Convolutional Network With Global and Local Context Information Enhancements

IEEE Access ◽

10.1109/access.2020.2964760 ◽

2020 ◽

Vol 8 ◽

pp. 14606-14619

Author(s):

Huanjun Hu ◽

Zheng Li ◽

Lin Li ◽

Hui Yang ◽

Haihong Zhu

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Local Context ◽

Context Information ◽

Convolutional Network ◽

Fully Convolutional Network ◽

Remote Sensing Imagery ◽

Global And Local ◽

Very High

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Object-oriented classification of high-resolution remote sensing imagery based on an improved colour structure code and a support vector machine

International Journal of Remote Sensing ◽

10.1080/01431160903475266 ◽

2010 ◽

Vol 31 (6) ◽

pp. 1453-1470 ◽

Cited By ~ 37

Author(s):

Haitao Li ◽

Haiyan Gu ◽

Yanshun Han ◽

Jinghui Yang

Keyword(s):

Remote Sensing ◽

Support Vector Machine ◽

High Resolution ◽

Object Oriented ◽

Support Vector ◽

Remote Sensing Imagery ◽

Structure Code

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Method of Improving Instance Segmentation for Very High Resolution Remote Sensing Imagery Using Deep Learning

Communications in Computer and Information Science - Data Stream Mining & Processing ◽

10.1007/978-3-030-61656-4_21 ◽

2020 ◽

pp. 323-333

Author(s):

Volodymyr Hnatushenko ◽

Vadym Zhernovyi

Keyword(s):

Remote Sensing ◽

Deep Learning ◽

High Resolution ◽

Remote Sensing Imagery ◽

Very High ◽

Instance Segmentation

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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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The Potential of Deep Features for Small Object Class Identification in Very High Resolution Remote Sensing Imagery

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-319-59876-5_63 ◽

2017 ◽

pp. 569-577

Author(s):

M. Dahmane ◽

S. Foucher ◽

M. Beaulieu ◽

Y. Bouroubi ◽

M. Benoit

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Small Object ◽

Object Class ◽

Remote Sensing Imagery ◽

Class Identification ◽

Very High

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Greenhouse extraction with high-resolution remote sensing imagery using fused fully convolutional network and object-oriented image analysis

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.15.046502 ◽

2021 ◽

Vol 15 (04) ◽

Author(s):

Hairong Ma ◽

Tianjing Feng ◽

Xiangcheng Shen ◽

Zhiqing Luo ◽

Pingting Chen ◽

...

Keyword(s):

Remote Sensing ◽

Image Analysis ◽

High Resolution ◽

Object Oriented ◽

Convolutional Network ◽

Fully Convolutional Network ◽

Remote Sensing Imagery

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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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Histogram based attribute profiles for classification of very high resolution remote sensing images

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

10.1109/igarss.2015.7326291 ◽

2015 ◽

Cited By ~ 2

Author(s):

Begum Demir ◽

Lorenzo Bruzzone

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Remote Sensing Images ◽

Very High

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Evaluation of urban road vehicle detection from high resolution remote sensing imagery using object-oriented method

2009 Joint Urban Remote Sensing Event ◽

10.1109/urs.2009.5137516 ◽

2009 ◽

Author(s):

Qulin Tan ◽

Qingchao Wei ◽

Songlin Yang ◽

Jinfei Wang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Object Oriented ◽

Vehicle Detection ◽

Object Oriented Method ◽

Road Vehicle ◽

Remote Sensing Imagery ◽

Urban Road

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