Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.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 promptAccording 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)