Deep anomaly detection in hyperspectral images based on membership maps and object area filtering

Research article (Expert Systems with Applications, 2021) · cited 16× · AI/ML
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Deep anomaly detection in hyperspectral images based on membership maps and object area filtering

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Deep anomaly detection in hyperspectral images based on membership maps and object area filtering is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep anomaly detection in hyperspectral images based on membership maps and object area filtering. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-anomaly-detection-in-hyperspectral-images-based-on-membership-maps-and-object-area-filtering
MLA “Deep anomaly detection in hyperspectral images based on membership maps and object area filtering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-anomaly-detection-in-hyperspectral-images-based-on-membership-maps-and-object-area-filtering.
BibTeX @misc{4ortxyz_deep-anomaly-detection-in-hyperspectral-images-based-on-membership-maps-and-object-area-filtering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep anomaly detection in hyperspectral images based on membership maps and object area filtering}}, year = {2026}, url = {https://4ort.xyz/entity/deep-anomaly-detection-in-hyperspectral-images-based-on-membership-maps-and-object-area-filtering}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep anomaly detection in hyperspectral images based on membership maps and object area filtering — https://4ort.xyz/entity/deep-anomaly-detection-in-hyperspectral-images-based-on-membership-maps-and-object-area-filtering (retrieved 2026-05-24)

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