Building Area Information Extraction Based on Texture in High-resolution Image

Texture is introduced as basis of classification based on the analysis of QuickBird high-resolution remote sensing images.Contrast and enhanced contrast are determined suitable for classification through contrast experiments,and the best classification factors are determined according to standard distance.The green band is chosen as classification band,and construction area information is extracted by improved minimum distance.Simulation results show that the extraction accuracy reaches 95.4%.