Detection of regions of interest in a high-spatial-resolution remote sensing image based on an adaptive spatial subsampling visual attention model-Reference-Cited by-同舟云学术

Detection of regions of interest in a high-spatial-resolution remote sensing image based on an adaptive spatial subsampling visual attention model

Published:2013-02 Issue:1 Volume:50 Page:112-132
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Zhang Libao¹²,Li Hao¹,Wang Pengfei¹,Yu Xianchuan¹

Affiliation:

1. a College of Information Science and Technology , Beijing Normal University , No. 19, Xinjiekouwai Street, Haidian District , Beijing , 100875 , China

2. b State Key Laboratory of Remote Sensing Science , Beijing Normal University , No. 19, Xinjiekouwai Street, Haidian District , Beijing , 100875 , China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2013.778553

Reference38 articles.

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2. Pattern recognition with moment invariants: A comparative study and new results

3. Remote Sensing: An Overview

4. Colour tuning in human visual cortex measured with functional magnetic resonance imaging

5. Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation

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