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Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection
Research article (Remote Sensing of Environment, 2018) · cited 61× · AI/ML
Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection
Summary
Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection is a scholarly article[1].
Key Facts
Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-the-performance-of-multiple-endmember-spectral-mixture-analysis-mesma-for-urban-land-cover-mapping-using-airbo
MLA“Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-the-performance-of-multiple-endmember-spectral-mixture-analysis-mesma-for-urban-land-cover-mapping-using-airbo.
BibTeX@misc{4ortxyz_enhancing-the-performance-of-multiple-endmember-spectral-mixture-analysis-mesma-for-urban-land-cover-mapping-using-airbo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-the-performance-of-multiple-endmember-spectral-mixture-analysis-mesma-for-urban-land-cover-mapping-using-airbo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection — https://4ort.xyz/entity/enhancing-the-performance-of-multiple-endmember-spectral-mixture-analysis-mesma-for-urban-land-cover-mapping-using-airbo (retrieved 2026-05-24)
