Land-cover classification with high-resolution remote sensing images using transferable deep models

In recent years, large amount of high spatial-resolution remote sensing (HRRS) images are available for land-cover mapping. However, due to the complex information brought by the increased spatial resolution and the data disturbances caused by different conditions of image acquisition, it is often d...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Remote sensing of environment Ročník 237; s. 111322
Hlavní autori:	Tong, Xin-Yi, Xia, Gui-Song, Lu, Qikai, Shen, Huanfeng, Li, Shengyang, You, Shucheng, Zhang, Liangpei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Inc 01.02.2020 Elsevier BV
Predmet:	Artificial neural networks Classification Datasets Deep learning Detection Gaofen-2 satellite images High resolution High-resolution remote sensing Image acquisition Image classification Image resolution Image segmentation Internet Labels Land cover land-cover classification Mapping Neural networks Remote sensing Satellite imagery Spatial data Spatial resolution Target recognition Deep learning High-resolution remote sensing land-cover classification Gaofen-2 satellite images
ISSN:	0034-4257, 1879-0704
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!