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).