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...
Saved in:
Main Author: | Zhu, Di |
---|---|
Other Authors: | Lu Yilong |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/78334 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Land cover classification using satellite optical and radar image fusion
by: Liu, Yunwei
Published: (2019) -
Satellite optical and radar image fusion for land cover classification
by: Zhang, Guobin
Published: (2018) -
Satellite image fusion for land cover classification
by: Tsan, Li Ling
Published: (2017) -
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)