Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery

Research article (Computers & Geosciences, 2017) · cited 88× · AI/ML
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Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery

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Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery is a scholarly article[1].

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  • Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/modification-of-the-random-forest-algorithm-to-avoid-statistical-dependence-problems-when-classifying-remote-sensing-ima
MLA “Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modification-of-the-random-forest-algorithm-to-avoid-statistical-dependence-problems-when-classifying-remote-sensing-ima.
BibTeX @misc{4ortxyz_modification-of-the-random-forest-algorithm-to-avoid-statistical-dependence-problems-when-classifying-remote-sensing-ima_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery}}, year = {2026}, url = {https://4ort.xyz/entity/modification-of-the-random-forest-algorithm-to-avoid-statistical-dependence-problems-when-classifying-remote-sensing-ima}, note = {Accessed: 2026-05-24}}
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