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Proceedings Paper

Regions of interest detection in large remote sensing images
Author(s): Zhenwei Geng; Wenxian Yu; Yongmei Jiang; Yi Su
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Paper Abstract

An approach for detecting ROIs(regions of interest) is proposed. It can locate airport and seashore regions rapidly in a large optical remote sensing image by adopting feature space analysis method. The image is firstly tiled and read into memory block by block for extracting features respectively. Then the extracted features are analyzed by mean shift method to cluster them into homogenous regions, and eventually a threshold can locate the airport and seashore regions. The proposed ROIs detecting method has strong robustness, autonomy and parallelism. It can drastically decrease the difficulty of target detection in large remote sensing images.

Paper Details

Date Published: 3 November 2005
PDF: 6 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 604428 (3 November 2005); doi: 10.1117/12.655291
Show Author Affiliations
Zhenwei Geng, National Univ. of Defense Technology (China)
Wenxian Yu, National Univ. of Defense Technology (China)
Yongmei Jiang, National Univ. of Defense Technology (China)
Yi Su, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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