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Enhancing spectral unmixing by considering the point spread function effect

Enhancing spectral unmixing by considering the point spread function effect
Enhancing spectral unmixing by considering the point spread function effect

The point spread function (PSF) effect exists ubiquitously in real remotely sensed data and such that the observed pixel signal is not only determined by the land cover within its own spatial coverage but also by that within neighboring pixels. The PSF, thus, imposes a fundamental limit on the amount of information captured in remotely sensed images and it introduces great uncertainty in the widely applied, inverse goal of spectral unmixing. Until now, spectral unmixing has erroneously been performed by assuming that the pixel signal is affected only by the land cover within the pixel, that is, ignoring the PSF. In this paper, a new method is proposed to account for the PSF effect within spectral unmixingto produce more accurate predictions of land cover proportions. Based on the mechanism of the PSF effect, the mathematical relation between the coarse proportion and sub-pixel proportions in a local window was deduced. Area-to-point kriging (ATPK) was then proposed to find a solution for the inverse prediction problem of estimating the sub-pixel proportions from the original coarse proportions. The sub-pixel proportions were finally upscaled using an ideal square wave response to produce the enhanced proportions. The effectiveness of the proposed method was demonstrated using two datasets. The proposed method has great potential for wide application since spectral unmixing is an extremely common approach in remote sensing.

Area-to-point-kriging (ATPK), Land cover, Point spread function (PSF), Soft classification, Spectral unmixing
2211-6753
Wang, Qunming
3ceb1e88-bd7f-4481-8a46-c1efcbb2e54b
Shi, Wenzhong
66f03c98-5693-4311-b196-568d07e59390
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Wang, Qunming
3ceb1e88-bd7f-4481-8a46-c1efcbb2e54b
Shi, Wenzhong
66f03c98-5693-4311-b196-568d07e59390
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b

Wang, Qunming, Shi, Wenzhong and Atkinson, Peter M. (2018) Enhancing spectral unmixing by considering the point spread function effect. Spatial Statistics. (doi:10.1016/j.spasta.2018.03.003).

Record type: Article

Abstract

The point spread function (PSF) effect exists ubiquitously in real remotely sensed data and such that the observed pixel signal is not only determined by the land cover within its own spatial coverage but also by that within neighboring pixels. The PSF, thus, imposes a fundamental limit on the amount of information captured in remotely sensed images and it introduces great uncertainty in the widely applied, inverse goal of spectral unmixing. Until now, spectral unmixing has erroneously been performed by assuming that the pixel signal is affected only by the land cover within the pixel, that is, ignoring the PSF. In this paper, a new method is proposed to account for the PSF effect within spectral unmixingto produce more accurate predictions of land cover proportions. Based on the mechanism of the PSF effect, the mathematical relation between the coarse proportion and sub-pixel proportions in a local window was deduced. Area-to-point kriging (ATPK) was then proposed to find a solution for the inverse prediction problem of estimating the sub-pixel proportions from the original coarse proportions. The sub-pixel proportions were finally upscaled using an ideal square wave response to produce the enhanced proportions. The effectiveness of the proposed method was demonstrated using two datasets. The proposed method has great potential for wide application since spectral unmixing is an extremely common approach in remote sensing.

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Enhancing spectral - Accepted Manuscript
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More information

Accepted/In Press date: 13 March 2018
e-pub ahead of print date: 16 March 2018
Keywords: Area-to-point-kriging (ATPK), Land cover, Point spread function (PSF), Soft classification, Spectral unmixing

Identifiers

Local EPrints ID: 419617
URI: http://eprints.soton.ac.uk/id/eprint/419617
ISSN: 2211-6753
PURE UUID: 996325a4-b59f-42ec-9254-e2d7d31a6207
ORCID for Peter M. Atkinson: ORCID iD orcid.org/0000-0002-5489-6880

Catalogue record

Date deposited: 16 Apr 2018 16:30
Last modified: 27 Apr 2022 05:07

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Contributors

Author: Qunming Wang
Author: Wenzhong Shi
Author: Peter M. Atkinson ORCID iD

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