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1 Ergebnisse
1
Segmentation of Watery Low Land Area using Hyperspectral Im..:
, In:
2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)
,
Bej, Gopinath
;
Dey, Tamal
;
Pal, Abhra
... - p. 1-4 , 2023
Link:
https://doi.org/10.1109/MIGARS57353.2023.10064564
RT T1 <cTitle>2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)</cTitle>: T1 <Title>Segmentation of Watery Low Land Area using Hyperspectral Imaging Technique: A Comparative Study with PPI, N-FINDR, ATGP, and FIPPI</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10064564&Exemplar=1&LAN=DE A1 Bej, Gopinath A1 Dey, Tamal A1 Pal, Abhra A1 Sutradhar, Tapas A1 Akuli, Amitava A1 Ghosh, Alokesh YR 2023 K1 Image segmentation K1 Runtime K1 Heuristic algorithms K1 Measurement uncertainty K1 Libraries K1 Iterative algorithms K1 Indexes K1 Endmember detection K1 abundance map K1 segmentation K1 performance analysis K1 hyperspectral imaging technology SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/MIGARS57353.2023.10064564 DO https://doi.org/10.1109/MIGARS57353.2023.10064564 SF ELIB - SuUB Bremen
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