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A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations

Research article (International Journal of Applied Earth Observation and Geoinformation, 2024) · cited 11× · AI/ML
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A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations

Summary

A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations is a scholarly article[1].

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  • A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-weakly-supervised-method-based-on-the-segment-anything-model-for-seamless-transition-from-classification-to-segm
MLA “A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-weakly-supervised-method-based-on-the-segment-anything-model-for-seamless-transition-from-classification-to-segm.
BibTeX @misc{4ortxyz_a-novel-weakly-supervised-method-based-on-the-segment-anything-model-for-seamless-transition-from-classification-to-segm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-weakly-supervised-method-based-on-the-segment-anything-model-for-seamless-transition-from-classification-to-segm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations — https://4ort.xyz/entity/a-novel-weakly-supervised-method-based-on-the-segment-anything-model-for-seamless-transition-from-classification-to-segm (retrieved 2026-05-24)

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