Universiti Teknologi Malaysia Institutional Repository

Object recognitions in radarsat-1 sar data using fuzzy classification

Marghany, Maged Mahmoud and Hashim, Mazlan and Moradi, Farideh (2011) Object recognitions in radarsat-1 sar data using fuzzy classification. International Journal of Physical Sciences, 6 (16). pp. 4038-4043. ISSN 1992-1950

Full text not available from this repository.

Official URL: https://academicjournals.org/journal/IJPS/article-...


This study is aimed to utilize fuzzy classification for different object detections that is urban, infrastructure and coastal water in RADARSAT-1 SAR S2 mode data. Prior to fuzzy classification, Lee algorithm with kernel window sizes of 7 × 7 pixels and lines is implemented to S2 mode data. Indeed, speckle reduction is performed using Lee algorithm. The results show that Lee algorithm is able to provide excellent information about linear infrastructure and urban features in SAR data. Further, fuzzy classification can discriminate between urban zone and coastal waters. In conclusion, the integration between Lee algorithm and fuzzy classification can be used for different object recognitions in S2 mode data.

Item Type:Article
Uncontrolled Keywords:RADARSAT-1 SAR, fuzzy classification, Lee algorithm, object recognitions
Subjects:G Geography. Anthropology. Recreation
Divisions:Geoinformation and Real Estate
ID Code:29665
Deposited By: Yanti Mohd Shah
Deposited On:21 Mar 2013 07:54
Last Modified:25 Apr 2019 01:18

Repository Staff Only: item control page