Satellite polSAR microwave imaging of Singapore and its surrounding area

Nowadays, one major application of remotely sensed data is land cover classification. This report introduces the procedure of land cover classification of polSAR image. One step of land cover classification is image segmentation, it is an important pre-process for final land cover classification....

Full description

Bibliographic Details
Main Author: Dai, Ruozhen
Other Authors: Lu Yilong
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68323
_version_ 1811686201618333696
author Dai, Ruozhen
author2 Lu Yilong
author_facet Lu Yilong
Dai, Ruozhen
author_sort Dai, Ruozhen
collection NTU
description Nowadays, one major application of remotely sensed data is land cover classification. This report introduces the procedure of land cover classification of polSAR image. One step of land cover classification is image segmentation, it is an important pre-process for final land cover classification. Two image segmentation methods are introduced, one is ChanVese active contours without edges and the other is watershed segmentation. The matlab implementation of the two methods on a polSAR image provided was discussed. Once segmented result was produced from original polSAR image, image fusion between segmented polSAR image and optical image is conducted to get a more comprehensive image of the area. Through compare between the two different segmentation methods, the limitations, advantages, disadvantages of them are found out.
first_indexed 2024-10-01T04:56:39Z
format Final Year Project (FYP)
id ntu-10356/68323
institution Nanyang Technological University
language English
last_indexed 2024-10-01T04:56:39Z
publishDate 2016
record_format dspace
spelling ntu-10356/683232023-07-07T16:32:06Z Satellite polSAR microwave imaging of Singapore and its surrounding area Dai, Ruozhen Lu Yilong School of Electrical and Electronic Engineering DRNTU::Engineering Nowadays, one major application of remotely sensed data is land cover classification. This report introduces the procedure of land cover classification of polSAR image. One step of land cover classification is image segmentation, it is an important pre-process for final land cover classification. Two image segmentation methods are introduced, one is ChanVese active contours without edges and the other is watershed segmentation. The matlab implementation of the two methods on a polSAR image provided was discussed. Once segmented result was produced from original polSAR image, image fusion between segmented polSAR image and optical image is conducted to get a more comprehensive image of the area. Through compare between the two different segmentation methods, the limitations, advantages, disadvantages of them are found out. Bachelor of Engineering 2016-05-25T06:36:29Z 2016-05-25T06:36:29Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68323 en Nanyang Technological University 51 p. application/pdf
spellingShingle DRNTU::Engineering
Dai, Ruozhen
Satellite polSAR microwave imaging of Singapore and its surrounding area
title Satellite polSAR microwave imaging of Singapore and its surrounding area
title_full Satellite polSAR microwave imaging of Singapore and its surrounding area
title_fullStr Satellite polSAR microwave imaging of Singapore and its surrounding area
title_full_unstemmed Satellite polSAR microwave imaging of Singapore and its surrounding area
title_short Satellite polSAR microwave imaging of Singapore and its surrounding area
title_sort satellite polsar microwave imaging of singapore and its surrounding area
topic DRNTU::Engineering
url http://hdl.handle.net/10356/68323
work_keys_str_mv AT dairuozhen satellitepolsarmicrowaveimagingofsingaporeanditssurroundingarea