Extraction of Urban Built-Up Land in Remote Sensing Images Based on Multi-sensor Data Fusion Algorithms

With the development of the high-resolution remote sensing technology, dynamic monitoring of urban built-up land use high-resolution remote sensing technology already become an important content of urban remote sensing. In this paper we select SPOT5 in 2003 and QuickBird in 2007 as data sources which covers research area, the urban built-up land information has been extracted through SAVI, PRWI and textural features, and analysis the extraction results. The results of this research show that the extraction method based on SAVI, PRWI, textural features could automatic (semi-automatic) extract urban built-up land effectively, and has the characteristics of simplicity, convenience and efficiency.