Advances in Land Use classification of Urban Areas from Hyperspectral Data

Land Use Land Cover (LULC) of urban environments covers natural and manmade resource. Because of this mix structured, the spatial and spectral characteristics of a targets and backgrounds are extremely diverse. Due to this problem, detection and the classification of manmade objects is very difficult. A Hyperspectral Remote Sensing can allow us to perform a detailed analysis of the urban area; it uses advanced imaging or non-imaging instruments to produce data with hundreds of spectral bands. These data are more useful for urban region, and by using this we can identify more objects and can generate more classes.