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Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2017) · cited 331× · AI/ML
Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning
Summary
Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning is a scholarly article[1].
Key Facts
Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/disaster-damage-detection-through-synergistic-use-of-deep-learning-and-3d-point-cloud-features-derived-from-very-high-re
MLA“Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/disaster-damage-detection-through-synergistic-use-of-deep-learning-and-3d-point-cloud-features-derived-from-very-high-re.
BibTeX@misc{4ortxyz_disaster-damage-detection-through-synergistic-use-of-deep-learning-and-3d-point-cloud-features-derived-from-very-high-re_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning}}, year = {2026}, url = {https://4ort.xyz/entity/disaster-damage-detection-through-synergistic-use-of-deep-learning-and-3d-point-cloud-features-derived-from-very-high-re}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning — https://4ort.xyz/entity/disaster-damage-detection-through-synergistic-use-of-deep-learning-and-3d-point-cloud-features-derived-from-very-high-re (retrieved 2026-05-24)
