Hyperspectral Remote Sensing Image Interpretation Based on Spatial Information Analysis of Homogeneous-Regions

Yan Gong +, Ning Shu and Liqun Lin
School of Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China

Abstract. This paper presents a hyperspectral remote sensing image analysis frame based on homogeneous-regions.  In this frame, a multi-scale segmentation method based on Spectral Code Mapping (SCM) was proposed, and spatial relationship was discussed for improved classification.

Keywords: spatial information; multi-scale; spatial-relationship; image interpretation; pattern cognition; hyperspectral remote sensing

In: Wan, Y. et al. (eds) Proceeding of the 8th international symposium on spatial accuracy assessment in natural resources and environmental sciences, World Academic Union (Press).

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