Regions of interest detection in large remote sensing images

Zhenwei Geng; Wenxian Yu; Yongmei Jiang; Yi Su

doi:10.1117/12.655291

3 November 2005 Regions of interest detection in large remote sensing images

Zhenwei Geng, Wenxian Yu, Yongmei Jiang, Yi Su

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 604428 (2005) https://doi.org/10.1117/12.655291
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

Zhenwei Geng, Wenxian Yu, Yongmei Jiang, and Yi Su "Regions of interest detection in large remote sensing images", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 604428 (3 November 2005); https://doi.org/10.1117/12.655291

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