Enhancing spectral unmixing by considering the point spread function effect

Qunming Wang, Wenzhong Shi, Peter M. Atkinson
2018 Spatial Statistics  
Please cite this article as: Wang Q., Shi W., Atkinson P.M., Enhancing spectral unmixing by considering the point spread function effect. Spatial Statistics (2018), https://doi. Abstract: The point spread function (PSF) effect exists ubiquitously in real remotely sensed data 15 and such that the observed pixel signal is not only determined by the land cover within its own 16 spatial coverage but also by that within neighboring pixels. The PSF, thus, imposes a fundamental 17 limit on the amount
more » ... f information captured in remotely sensed images and it introduces great 18 uncertainty in the widely applied, inverse goal of spectral unmxing. Until now, spectral unmixing 19 has erroneously been performed by assuming that the pixel signal is affected only by the land cover 20 within the pixel, that is, ignoring the PSF. In this paper, a new method is proposed to account for 21 the PSF effect within spectral unmxing to produce more accurate predictions of land cover 22 30 31
doi:10.1016/j.spasta.2018.03.003 fatcat:ztvcps3sord5xh2qhg7p56lbxa