A divided and stratified extraction method of high-resolution remote sensing information for cropland in hilly and mountainous areas based on deep learning

A divided and stratified extraction method of high-resolution remote sensing information for cropland in hilly and mountainous areas based on deep learning

Cropland is a scarce land resource in hilly and mountainous areas, which has the characteristics of complex topographic conditions and diverse planting structures, leading to the difficulty of rapid and accurate acquisition of cropland information in mountainous areas. Therefore, it is difficult to...

Full description

Bibliographic Details
Main Authors: LIU Wei, WU Zhifeng, LUO Jiancheng, SUN Yingwei, WU Tianjun, ZHOU Nan, HU Xiaodong, WANG Lingyu, ZHOU Zhongfa
Format: Article
Language:zho
Published: Surveying and Mapping Press 2021-01-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
cropland information
high-spatial-resolution remote sensing
division and stratification
deep learning
cropland-parcel
Online Access:http://xb.sinomaps.com/article/2021/1001-1595/2021-1-105.htm

Internet

http://xb.sinomaps.com/article/2021/1001-1595/2021-1-105.htm

Similar Items