Empirical Analysis of Ship Detection and Dimension Estimation from RISAT-1 Compact Polarimetric Data
Pooja Shah1, Tanish Zaveri2, Rajkumar Sharma3, Anup Das4, Darshan Patel5
1Pooja Shah, assistant professor, department of Computer Science and Engineering, Nirma University, Ahmedabad, Gujarat, India.
2Dr. Tanish Zaveri, professor, department of Electronics and communicatios, Institute of Technology under Nirma University, Ahmedabad, Gujarat, India.
3Dr. Raj Kumar, director EPSA, Space Applications Center-ISRO.
4Dr. Anup Das, scientist, SAC-ISRO.
5Mr. Darshan Patel, post graduate student, Institute of Technology under Nirma University, Ahmedabad, Gujarat, India.
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 359-364 | Volume-9 Issue-3, February, 2020. | Retrieval Number: B4222129219/2020©BEIESP | DOI: 10.35940/ijeat.B4222.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The detection of ship and estimation of its characteristics has its significance in tracking these sea vessels for surveillance. It also has its importance as an ancillary information for marine applications like oil spill detection and its source tracking. This paper is an aspiration towards exploring the strength of RISAT-1 data retrieved in circular transmit linear receive mode. We propose a method to select the detected ship and get the dimension estimation of the segmented ship for further decision making. The proposed method has been implemented in python and tested for various inputs. The verification of the same is done as a de-facto measure based on location or by supporting measurements obtained through Google Maps.
Keywords: SAR, RISAT-1, Ship detection, Size estimation