A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette
A new classification parameter is developed using 1535 ERS-2 wave mode synthetic aperture radar (SAR) test imagettes to better differentiate homogeneous and inhomogeneous imagettes. The comparison between the new parameter (Min) and the previous one (Inhomo) (Schulz-Stellenfleth and Lehner, 2004) wa...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer India
2016
|
| Online Access: | http://hdl.handle.net/1721.1/104340 |
| _version_ | 1826192345614254080 |
|---|---|
| author | Song, Guiting Panda, Jagabandhu Zhang, Yanhui Chen, Haoliang Krishna, K. Muni |
| author2 | Singapore-MIT Alliance in Research and Technology (SMART) |
| author_facet | Singapore-MIT Alliance in Research and Technology (SMART) Song, Guiting Panda, Jagabandhu Zhang, Yanhui Chen, Haoliang Krishna, K. Muni |
| author_sort | Song, Guiting |
| collection | MIT |
| description | A new classification parameter is developed using 1535 ERS-2 wave mode synthetic aperture radar (SAR) test imagettes to better differentiate homogeneous and inhomogeneous imagettes. The comparison between the new parameter (Min) and the previous one (Inhomo) (Schulz-Stellenfleth and Lehner, 2004) was done under varied threshold values of Inhomo. It is concluded that the performance of ‘Min’ is much better than ‘Inhomo’ when applying to the 1535 test imagettes. Furthermore, both Min and Inhomo are applied to nearly 1 million imagettes collected for the period from 1 September 1998 to 30 November 2000. The comparisons of the global inhomogeneous distribution between ‘Min’ and ‘Inhomo’ reveal that both the areas and percentage of inhomogeneity calculated by ‘Min’ are larger than that calculated by ‘Inhomo’. By analyzing the low wind speed distribution of HOAPS data, we found that low wind speed over the ocean is one of the key reasons for the inhomogeneity of SAR imagettes. |
| first_indexed | 2024-09-23T09:10:22Z |
| format | Article |
| id | mit-1721.1/104340 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:10:22Z |
| publishDate | 2016 |
| publisher | Springer India |
| record_format | dspace |
| spelling | mit-1721.1/1043402022-09-30T13:55:05Z A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette Song, Guiting Panda, Jagabandhu Zhang, Yanhui Chen, Haoliang Krishna, K. Muni Singapore-MIT Alliance in Research and Technology (SMART) Chen, Haoliang A new classification parameter is developed using 1535 ERS-2 wave mode synthetic aperture radar (SAR) test imagettes to better differentiate homogeneous and inhomogeneous imagettes. The comparison between the new parameter (Min) and the previous one (Inhomo) (Schulz-Stellenfleth and Lehner, 2004) was done under varied threshold values of Inhomo. It is concluded that the performance of ‘Min’ is much better than ‘Inhomo’ when applying to the 1535 test imagettes. Furthermore, both Min and Inhomo are applied to nearly 1 million imagettes collected for the period from 1 September 1998 to 30 November 2000. The comparisons of the global inhomogeneous distribution between ‘Min’ and ‘Inhomo’ reveal that both the areas and percentage of inhomogeneity calculated by ‘Min’ are larger than that calculated by ‘Inhomo’. By analyzing the low wind speed distribution of HOAPS data, we found that low wind speed over the ocean is one of the key reasons for the inhomogeneity of SAR imagettes. 2016-09-16T19:28:56Z 2016-09-16T19:28:56Z 2013-10 2013-04 2016-08-18T15:22:13Z Article http://purl.org/eprint/type/JournalArticle 0255-660X 0974-3006 http://hdl.handle.net/1721.1/104340 Song, Guiting, Jagabandhu Panda, Yanhui Zhang, Haoliang Chen, and K. Muni Krishna. “A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette.” J Indian Soc Remote Sens 42, no. 1 (October 10, 2013): 13–21. en http://dx.doi.org/10.1007/s12524-013-0302-3 Journal of the Indian Society of Remote Sensing Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. Indian Society of Remote Sensing application/pdf Springer India Springer India |
| spellingShingle | Song, Guiting Panda, Jagabandhu Zhang, Yanhui Chen, Haoliang Krishna, K. Muni A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette |
| title | A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette |
| title_full | A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette |
| title_fullStr | A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette |
| title_full_unstemmed | A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette |
| title_short | A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette |
| title_sort | new algorithm to classify the homogeneity of ers 2 wave mode sar imagette |
| url | http://hdl.handle.net/1721.1/104340 |
| work_keys_str_mv | AT songguiting anewalgorithmtoclassifythehomogeneityofers2wavemodesarimagette AT pandajagabandhu anewalgorithmtoclassifythehomogeneityofers2wavemodesarimagette AT zhangyanhui anewalgorithmtoclassifythehomogeneityofers2wavemodesarimagette AT chenhaoliang anewalgorithmtoclassifythehomogeneityofers2wavemodesarimagette AT krishnakmuni anewalgorithmtoclassifythehomogeneityofers2wavemodesarimagette AT songguiting newalgorithmtoclassifythehomogeneityofers2wavemodesarimagette AT pandajagabandhu newalgorithmtoclassifythehomogeneityofers2wavemodesarimagette AT zhangyanhui newalgorithmtoclassifythehomogeneityofers2wavemodesarimagette AT chenhaoliang newalgorithmtoclassifythehomogeneityofers2wavemodesarimagette AT krishnakmuni newalgorithmtoclassifythehomogeneityofers2wavemodesarimagette |