A Study of Sub-Pixel Detection for Hyperspectral Image Using Linear Spectral Unmixing Algorithm

Linear Spectral Unmixing 기법을 이용한 하이퍼스펙트럴 영상의 Sub-Pixel Detection에 관한 연구

Hyperspectral imagery have high spectral resolution and provide the potential for more accurate and detailed information extraction than any other type of remotely sensed data. In this paper, the "Linear Spectral Unmixing" model which is one solution to overcome the limit of spatial resolution for remote sensing data was introduced and we applied the algorithm to hyperspectral image. The result was not good because of some problems such as image calibration and used endmembers. Therefore, we analyzed the cause and had a search for a solution.