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SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan
Research article (Applied Sciences, 2020) · cited 28× · AI/ML
SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan
Summary
SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan is a scholarly article[1].
Key Facts
SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan's A Case Study of Kumamoto Earthquake, Japan — instance of is recorded as scholarly article[2].
References
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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). SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan. Retrieved May 24, 2026, from https://4ort.xyz/entity/sar-and-lidar-datasets-for-building-damage-evaluation-based-on-support-vector-machine-and-random-forest-algorithmsa-case
MLA“SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sar-and-lidar-datasets-for-building-damage-evaluation-based-on-support-vector-machine-and-random-forest-algorithmsa-case.
BibTeX@misc{4ortxyz_sar-and-lidar-datasets-for-building-damage-evaluation-based-on-support-vector-machine-and-random-forest-algorithmsa-case_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan}}, year = {2026}, url = {https://4ort.xyz/entity/sar-and-lidar-datasets-for-building-damage-evaluation-based-on-support-vector-machine-and-random-forest-algorithmsa-case}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan — https://4ort.xyz/entity/sar-and-lidar-datasets-for-building-damage-evaluation-based-on-support-vector-machine-and-random-forest-algorithmsa-case (retrieved 2026-05-24)
