Land cover classification with satellite optical and radar image fusion
Synthetic Aperture Radar (SAR) is widely used in remote sensing and landcover objects. Comparing with normal optical images, SAR could produce more detailed images of objects from large distance, without being affected by weather conditions such as clouds. Since optical images can generate high-reso...
Main Author: | Zhu, Di |
---|---|
Other Authors: | Lu Yilong |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/78334 |
Similar Items
-
Land cover classification using satellite optical and radar image fusion
by: Liu, Yunwei
Published: (2019) -
Satellite imagery and change detection for land cover
by: Liu, Lu
Published: (2017) -
Satellite polarimetric radar image processing
by: Jia, Jingqi
Published: (2019) -
Satellite image fusion for land cover classificstion
by: Zhang, Xinyue
Published: (2016) -
Cross-modality learning for earth surface mapping with cloud-covered satellite optical images and radar images
by: Pi, Ziyi
Published: (2021)