Enhanced contextual representation with deep neural networks for land cover classification based on remote sensing images

Enhanced contextual representation with deep neural networks for land cover classification based on remote sensing images

Classification tasks on land cover (LC) mapping are challenging due to the complex and heterogeneous characteristics of remote sensing images(RSIs). Current LC classifications are mainly based on deep convolutional neural networks (DCNNs), and previous works have been proven that spatial context can...

Full description

Bibliographic Details
Main Authors: Xijie Cheng, Xiaohui He, Mengjia Qiao, Panle Li, Shaokai Hu, Peng Chang, Zhihui Tian
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Land cover(LC) classification
Deep convolutional neural networks(DCNNs)
Contextual information
Feature fusion
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243422000320

Internet

http://www.sciencedirect.com/science/article/pii/S0303243422000320

Similar Items