Coherent Change Detection with COSMO SkyMed Data-experimental Results

  • A. Mishra Defence Electronics Application Laboratory, Dehradun
  • Debasis Chaudhuri Defence Electronics Application Laboratory, Dehradun
  • C. Bhattacharya Defence Institute of Advanced Technology, Pune
  • Y. S. Rao Indian Institute of Technology Bombay, Mumbai
DOI: https://doi.org/10.14429/dsj.63.3766
Keywords: Coherent change detection, synthetic aperture radar, track detection

Abstract

Change detection is a technique in which we try to find changes between two acquisitions. These acquisitions can be from different platforms and sensors. Acquisition from satellite using synthetic aperture radar (SAR) is of immense interest to military applications. Satellite has the ability to peep into the enemy territory while SAR has the capability of day and night operations, being an active sensor. Coherent change detection (CCD) can be used to detect minute changes between two images. This paper presents the coherent change detection experimental studies using COSMO SkyMed space borne data. It has been demonstrated that subtle changes caused by the vehicle movement can be detected using phase characteristic of the SAR data.

Defence Science Journal, 2013, 63(1), pp.69-73, DOI:http://dx.doi.org/10.14429/dsj.63.3766

Author Biographies

A. Mishra, Defence Electronics Application Laboratory, Dehradun
Mr Abhai Mishra received BTech (Electronics Engineering) from Institute of Engineering & Technology, Lucknow University in1994. Presently he is Scientist ‘E’ and Head, SAR Image Processing Division, at Image Analysis Center, Defence Electronics Applications Laboratory (DEAL) andpursuing MS (by research) from Defence Institute of Advanced Technology (DIAT), Pune. He has published over 20 research papers in various National/International journals and symposium. He is life member of many Societies. His area of interest includes: SAR image simulation, Polarimetric SAR processing and SAR Interferometry.
Debasis Chaudhuri, Defence Electronics Application Laboratory, Dehradun
Dr D Chaudhuri received the BSc (Hons) in Mathematics from Visva-Bharati University, Santiniketan, in 1985, MSc (Applied Mathematics) from Jadavpur University, Kolkata, in 1987 and PhD from Indian Statistical Institute, Kolkata in 1994 .Currently working as a Scientist at DEAL, Dehradun, India. He has published ove r45 papers in international journals and conferences. He is a fellow of IETE. His research interests include: Image processing, pattern recognition, computer vision,remote sensing, and target detection from satellite imagery.
C. Bhattacharya, Defence Institute of Advanced Technology, Pune
Dr C. Bhattacharya received his PhD from Jadavpur University, Kolkata, in 2004. He is heading Deptt. of Electronics Engg., Defence Institute of Advanced technology (DIAT), Pune from May 2009.He is a scientist ‘F’ with DRDO, and worked in the area of signal and image processing for MM Wave sensors at DEAL, Dehradun. His research interests are in synthetic aperture radar (SAR) signal and image processing, ultrawideband signals, stochatic processes, and bioiformatics. He has contributed to more than twenty five internationally indexed publications in these areas. He is a senior member to IEEE signal processing society, USA.
Y. S. Rao, Indian Institute of Technology Bombay, Mumbai
Dr Y. S. Rao received his MSc (Physics) from Andhra Unversity, in 1982 and PhD from Indian Institute of Technology (IIT) Bombay, in 1992. Currently working as Associate Professor at Centre of Studies Resources Engineering, IIT Bombay. He worked in both passive and active microwave remote sensing for several applications viz. soil moisture, flood mapping, landuse/land cover. His current research interests include: Application of polarimetry for geophysical parameter retrieval and SAR interferometry for DEM and displacement map generation.
Published
2013-01-01
How to Cite
Mishra, A., Chaudhuri, D., Bhattacharya, C., & Rao, Y. (2013). Coherent Change Detection with COSMO SkyMed Data-experimental Results. Defence Science Journal, 63(1), 69-73. https://doi.org/10.14429/dsj.63.3766
Issue
Vol 63 No 1: Communication Systems and Image Processing Technology
Section
Special Issue Papers
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