Monitoring and Change Detection of Natural Disaster (Like Subsidence) Using Synthetic Aperture Radar (SAR) Data

被引:9
|
作者
Singh, D. [1 ]
Chamundeeswari, V. V. [1 ]
Singh, K. [1 ]
Wiesbeck, Werner [2 ]
机构
[1] Indian Inst Technol Roorkee, Roorkee, Uttar Pradesh, India
[2] Univ Karlsruhe, Karlsruhe, Germany
关键词
change detection; D-InSAR; monitoring; MRD; SAR; subsidence; PCA;
D O I
10.1109/AMTA.2008.4763244
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Synthetic Aperture Radar (SAR) is capable of generating fine-resolution Images of the earth terrain unhindered by weather and illumination conditions. These special properties develop Interest fit the researchers worldwide for maximum use of Radar Images for various applications. In this chain, monitoring natural disaster with SAR images is one of the challenging research areas. The present paper deals with monitoring and observing the changes In subsidence due to natural disaster. For this purpose, New Orleans City of USA has been taken as a test area. MRD(Minimum Ratio detector) is applied on raw SAR data and D-InSAR on complex data to monitor and observe change detection due to subsidence in this area.
引用
收藏
页码:419 / +
页数:2
相关论文
共 50 条
  • [41] Ship detection from scratch in Synthetic Aperture Radar (SAR) images
    Zhao, Kai
    Zhou, Yan
    Chen, Xin
    Wang, Bing
    Zhang, Yong
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 42 (13) : 5014 - 5028
  • [42] Ship detection in synthetic aperture radar (SAR) images by deep learning
    Ayhan, Oner
    Sen, Nigar
    ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN DEFENSE APPLICATIONS, 2019, 11169
  • [43] Oil Detection in a Coastal Marsh with Polarimetric Synthetic Aperture Radar (SAR)
    Ramsey, Elijah, III
    Rangoonwala, Amina
    Suzuoki, Yukihiro
    Jones, Cathleen E.
    REMOTE SENSING, 2011, 3 (12) : 2630 - 2662
  • [44] Remote sensing with the Synthetic Aperture Radar (SAR) for urban damage detection
    Shinozuka, M
    Loh, K
    ENGINEERING, CONSTRUCTION AND OPERATIONS IN CHALLENGING ENVIRONMENTS: EARTH AND SPACE 2004, 2004, : 223 - 230
  • [45] On the compression of raw data and images from synthetic aperture radar (SAR)
    De Beaucoudrey, Nicole
    Mercier, Grégoire
    2001, Hermes Science Publications (56): : 11 - 12
  • [46] On the compression of raw data and images from synthetic aperture radar (SAR).
    de Beaucoudrey, N
    Mercier, G
    ANNALS OF TELECOMMUNICATIONS, 2001, 56 (11-12) : 646 - 654
  • [47] Use of interferometric techniques for detecting subsidence in the oil fields of Kuwait using Synthetic Aperture Radar Data
    Din, SU
    Al-Dousari, A
    Al-Ghadban, A
    Aritoshi, M
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2006, 50 (01) : 1 - 10
  • [48] Monitoring tropical forests using synthetic aperture radar
    Hoekman, DH
    PROCEEDINGS OF THE FINAL RESULTS WORKSHOP ON INDEX (INDONESIAN RADAR EXPERIMENT), 2000, 489 : 11 - 24
  • [49] TRIAL OF VOLCANIC ASH DETECTION USING L-BAND SYNTHETIC APERTURE RADAR (SAR)
    Watanabe, Manabu
    Sonobe, Masashi
    Natsuaki, Ryo
    Suzuki, Shinichi
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 7701 - 7704
  • [50] Estimation of snow density using full-polarimetric Synthetic Aperture Radar (SAR) data
    Surendar, M.
    Bhattacharya, A.
    Singh, G.
    Venkataraman, G.
    PHYSICS AND CHEMISTRY OF THE EARTH, 2015, 83-84 : 156 - 165