Multi-Sensor SAR Image Registration Based on Object Shape
Owing to significant differences in synthetic aperture radar (SAR) images caused by diverse imaging mechanisms and imaging conditions, inconsistent features and relationship correspondences constitute key problems for traditional image registration algorithms. This study presents a novel SAR image r...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-11-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2072-4292/8/11/923 |
| _version_ | 1798030736906780672 |
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| author | Jie Rui Chao Wang Hong Zhang Fei Jin |
| author_facet | Jie Rui Chao Wang Hong Zhang Fei Jin |
| author_sort | Jie Rui |
| collection | DOAJ |
| description | Owing to significant differences in synthetic aperture radar (SAR) images caused by diverse imaging mechanisms and imaging conditions, inconsistent features and relationship correspondences constitute key problems for traditional image registration algorithms. This study presents a novel SAR image registration method based on the shape information of distinct ground objects, which is obtained via object extraction and morphological operations. We utilize a shape context descriptor to compare the contours of objects and detect invariant control points. The experimental results show that the proposed method can achieve a reliable and stable registration performance for SAR images of different sensors. |
| first_indexed | 2024-04-11T19:46:08Z |
| format | Article |
| id | doaj.art-85768cef487544e0b5f2ffa6b98c69b9 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T19:46:08Z |
| publishDate | 2016-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-85768cef487544e0b5f2ffa6b98c69b92022-12-22T04:06:29ZengMDPI AGRemote Sensing2072-42922016-11-0181192310.3390/rs8110923rs8110923Multi-Sensor SAR Image Registration Based on Object ShapeJie Rui0Chao Wang1Hong Zhang2Fei Jin3Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Beijing 100094, ChinaZhengzhou Institute of Surveying and Mapping, Zhengzhou 450052, ChinaOwing to significant differences in synthetic aperture radar (SAR) images caused by diverse imaging mechanisms and imaging conditions, inconsistent features and relationship correspondences constitute key problems for traditional image registration algorithms. This study presents a novel SAR image registration method based on the shape information of distinct ground objects, which is obtained via object extraction and morphological operations. We utilize a shape context descriptor to compare the contours of objects and detect invariant control points. The experimental results show that the proposed method can achieve a reliable and stable registration performance for SAR images of different sensors.http://www.mdpi.com/2072-4292/8/11/923SAR image registrationobject extractionshape matchingshape context |
| spellingShingle | Jie Rui Chao Wang Hong Zhang Fei Jin Multi-Sensor SAR Image Registration Based on Object Shape Remote Sensing SAR image registration object extraction shape matching shape context |
| title | Multi-Sensor SAR Image Registration Based on Object Shape |
| title_full | Multi-Sensor SAR Image Registration Based on Object Shape |
| title_fullStr | Multi-Sensor SAR Image Registration Based on Object Shape |
| title_full_unstemmed | Multi-Sensor SAR Image Registration Based on Object Shape |
| title_short | Multi-Sensor SAR Image Registration Based on Object Shape |
| title_sort | multi sensor sar image registration based on object shape |
| topic | SAR image registration object extraction shape matching shape context |
| url | http://www.mdpi.com/2072-4292/8/11/923 |
| work_keys_str_mv | AT jierui multisensorsarimageregistrationbasedonobjectshape AT chaowang multisensorsarimageregistrationbasedonobjectshape AT hongzhang multisensorsarimageregistrationbasedonobjectshape AT feijin multisensorsarimageregistrationbasedonobjectshape |