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A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019) · cited 43× · AI/ML
A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data is a scholarly article[1].
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A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data. Retrieved October 18, 2026, from https://4ort.xyz/entity/a-comparative-land-cover-classification-feature-study-of-learning-algorithms-dbm-pca-and-rf-using-multispectral-lidar-da
MLA“A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/a-comparative-land-cover-classification-feature-study-of-learning-algorithms-dbm-pca-and-rf-using-multispectral-lidar-da.
BibTeX@misc{4ortxyz_a-comparative-land-cover-classification-feature-study-of-learning-algorithms-dbm-pca-and-rf-using-multispectral-lidar-da_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-land-cover-classification-feature-study-of-learning-algorithms-dbm-pca-and-rf-using-multispectral-lidar-da}, note = {Accessed: 2026-10-18}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data — https://4ort.xyz/entity/a-comparative-land-cover-classification-feature-study-of-learning-algorithms-dbm-pca-and-rf-using-multispectral-lidar-da (retrieved 2026-10-18)
