Identification for building surface material based on hyperspectral remote sensing

In contrast with traditional remote sensing, hyperspectral remote sensing has the characteristics of high spectral resolution, combination of graph and spectrum, and large quantity of imaging bands. It has been used in many fields. According to the research results of other scholars, building surface has become a thermal active surface which has an important effect for forming city three-dimensional climate. In the 863 research project of relieving and analyzing of city heat island, based on summarizing now available spectrum identification methods, we selected frequently-used spectral angle match (SAM) identification method for the research, then we realized a program of identifying building surface material with IDL, and we did a simulation experiment for the program by using an AVIRIS image. Finally, we got a good result. It is proved that identifying building surface material based on hyperspectral remote sensing is feasible. So it makes a solid basis for further research.