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Implement robust endmember selection #146

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jpolchlo opened this issue Jul 7, 2021 · 0 comments · May be fixed by #151
Open

Implement robust endmember selection #146

jpolchlo opened this issue Jul 7, 2021 · 0 comments · May be fixed by #151
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@jpolchlo
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jpolchlo commented Jul 7, 2021

As an entrypoint into endmember selection, we should investigate the robust successive projection algorithm (RSPA). This is a means to determine, in a noise-tolerant way, a set of spectral endmembers that describe the dominant spectral components present in a sample of spectra. These can then be used in unmixing operations to disaggregate the pixels of an image according to the abundance of each endmember's material.

References:
Gillis, N. (2019, December). Successive projection algorithm robust to outliers. In 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (pp. 331-335). IEEE.

@jpolchlo jpolchlo self-assigned this Jul 7, 2021
@pomadchin pomadchin modified the milestones: Sprint 06/24 - 07/08/2021, Sprint 07/08 - 07/22/2021 Jul 7, 2021
@jpolchlo jpolchlo linked a pull request Jul 13, 2021 that will close this issue
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@pomadchin pomadchin modified the milestones: Sprint 07/08 - 07/22/2021, Sprint 06/24 - 07/08/2021, Sprint 08/19 - 09/02/2021 Aug 19, 2021
@pomadchin pomadchin modified the milestones: Sprint 08/19 - 09/02/2021, Sprint 09/02 - 09/16/2021 Sep 2, 2021
@pomadchin pomadchin removed this from the Sprint 09/30 - 10/14/2021 milestone Oct 14, 2021
@jcahail jcahail closed this as completed Feb 2, 2022
@jcahail jcahail reopened this Feb 2, 2022
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