In this paper, a spectral unmixing technique based on multichannel singular spectrum analysis (MSSA) is applied to derive quantitative information about general land-cover types whose spectra can be determined from the image. The proposed approach can tolerate white noise in the linear model; moreover, we also provide an automatic mechanism to eliminate the undesired singular values as many as possible to get better results. Several experiments for hyperspectral images were conducted to validate the spectral unmixing procedure. Comparisons with the LSOSP approach were also given.
|出版狀態||已出版 - 2001|
|事件||2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australia|
持續時間: 9 7月 2001 → 13 7月 2001
|???event.eventtypes.event.conference???||2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)|
|期間||9/07/01 → 13/07/01|