Image Fusion-Based Land Cover Change Detection Using Multi-Temporal High-Resolution Satellite Images
Change detection is usually treated as a problem of explicitly detecting land cover transitions in satellite images obtained at different times, and helps with emergency response and government management. This study presents an unsupervised change detection method based on the image fusion of multi...
Main Authors: | Biao Wang, Jaewan Choi, Seokeun Choi, Soungki Lee, Penghai Wu, Yan Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-08-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/9/8/804 |
Similar Items
-
Underwater Image Super-Resolution by Descattering and Fusion
by: Huimin Lu, et al.
Published: (2017-01-01) -
Line segment fusion method for high-resolution optical satellite image
by: DAI Jiguang, et al.
Published: (2020-04-01) -
Vegetation Land Use/Land Cover Extraction From High-Resolution Satellite Images Based on Adaptive Context Inference
by: Zongqian Zhan, et al.
Published: (2020-01-01) -
Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution
by: Zhe Liu, et al.
Published: (2021-03-01) -
A Learning-Based Image Fusion for High-Resolution SAR and Panchromatic Imagery
by: Dae Kyo Seo, et al.
Published: (2020-05-01)