Study on edge detection of multi-spectrum remote sensing image based on cloud
基于云的多光谱遥感影像边缘检测研究

A new edge detection algorithm of multi-spectrum remote sensing image was proposed.First,growing image regions by vector angle similarity law and spatial-contextual information.Second,constructing multi-dimension cloud model based on bands,mapping the image objects to multiple cloud space,constructing boundary-clouds by Boolean calculation between two or more clouds and synthesizing multi-dimension vectors.Third,constructing fuzzy property facet and getting the optimal threshold through maximizing the entropy of fuzzy partition based on conditional probabilities and entropy of fuzzy partition.At last,we can get the edge of multi-spectrum image by fuzzy property facet and optimal threshold.Experiments testify that the algorithm could effectively detect edge of multi-spectrum remote sensing image.