Improving land cover classification in an urbanized coastal area by random forests: The role of variable selection

Land cover mapping in complex environments can be challenging due to their landscape heterogeneity. With the increasing availability of various open-access remotely sensed datasets, more images acquired by different sensors and on different dates tend to be used to improve land cover classification...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Remote sensing of environment Ročník 251; s. 112105
Hlavní autoři:	Zhang, Fang, Yang, Xiaojun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Inc 15.12.2020 Elsevier BV
Témata:	Accuracy Classification Coastal zone Coasts Complex environments Computational efficiency Computer applications Computing time data collection decision support systems Decision trees Domains environment Feature selection Heterogeneity Image acquisition Land cover Land cover classification Landscape landscapes Pattern recognition Permutations prediction Random forests Regression analysis Remote sensing Remote sensors Satellite imagery satellites Temporal variations urbanization Variable selection Complex environments Land cover classification Random forests Variable selection
ISSN:	0034-4257, 1879-0704
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!