Towards a polyalgorithm for land use change detection

One way of analyzing satellite images for land use and land cover change (LULCC) is time series analysis (TSA). Most of the many TSA based LULCC algorithms proposed in the remote sensing community perform well on datasets for which they were designed, but their performance on randomly chosen dataset...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	ISPRS journal of photogrammetry and remote sensing Ročník 144; s. 217 - 234
Hlavní autoři:	Saxena, Rishu, Watson, Layne T., Wynne, Randolph H., Brooks, Evan B., Thomas, Valerie A., Zhiqiang, Yang, Kennedy, Robert E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.10.2018
Témata:	aerial photography algorithms anthropogenic activities Change detection data collection environmental impact humans land use and land cover maps land use change Landsat Polyalgorithm Remote sensing Scalable computing Time series analysis Polyalgorithm Scalable computing Time series analysis Change detection Remote sensing
ISSN:	0924-2716, 1872-8235
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!