Shape saliency for remote sensing image

Sheng Xu; Huo Hong; Tao Fang

doi:10.1117/12.751123

14 November 2007 Shape saliency for remote sensing image

Sheng Xu, Huo Hong, Tao Fang

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902R (2007) https://doi.org/10.1117/12.751123
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper, a shape saliency measure for only shape feature of each object in the image is described. Instead biologically-inspired bottom-up Itti model, the dissimilarity is measured by the shape feature. And, Fourier descriptor is used for measuring dissimilarity in this paper. In the model, the object is determined as a salient region, when it is far different from others. Different value of the saliency is ranged to generate a saliency map. It is shown that the attention shift processing can be recorded. Some results from psychological images and remote sensing images are shown and discussed in the paper.

Citation Download Citation

Sheng Xu, Huo Hong, and Tao Fang "Shape saliency for remote sensing image", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902R (14 November 2007); https://doi.org/10.1117/12.751123

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KEYWORDS

Image segmentation

Visualization

Remote sensing

Visual process modeling

Bismuth

Cognitive modeling

Feature extraction

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