Built-Up Areas Extraction of High-Resolution Remote Sensing Images by Texture Driven Visual Attention Mechanism

doi:j.cnki.11-2089.2014.0131

Abstract

Abstract:

An effective built-up areas extraction algorithm of high-resolution remote sensing images is proposed in this paper. Based on a signal processing method, we present a texture description method for the characteristics of built-up areas in high-resolution remote sensing images. Through an information theory based visual attention mechanism, a saliency map is calculated to extract built-up areas. Experiments prove the effectiveness of the proposed algorithm.

Key words: high-resolution remote sensing images, NSCT, textural features, visual saliency, built-up areas extraction

CLC Number:

TP751

References

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