Department of Geography, Payame Noor University, Po Box 193953697, Tehran, Iran. Email: ehsangolmehr@pnu.ac.ir
Online published on 7 December, 2012.
The southern coast of the Caspian Sea is characterized by high humidity with wide clouds and fog covers. Because of this feature in the region, it is difficult to acquire satisfactory optic image from satellite image for interpretation. This has influence on land use dynamic monitoring around the southern cost of the Caspian Sea. Radar remote sensing has many advantages on the application of land use survey in the study area because of less effect of weather in comparison with the Landsat TM data. In the study a developed image enhancement technique on the basis of Kalman filtering technique was proposed. Texture analysis of Radar SAR image was investigated. The method used in the current project for Land use/cover changes detection from 2005 to 2007 was to fuse images of different sources such as TM and SAR and then integrate the fused images of different times in such that the changes of these images can be highlighted. Radar SAR data and TM Images captured in 2005 and 2007 were used for this purpose. The techniques that are applicable to both the Radar data and to TM data as well as to the accuracy of results obtained for land use monitoring have been systematically compared. The results of the study verify the efficiency of the proposed Kalaman filtering technique for dynamic land use monitoring in particular study area.
Remote Sensing, Radar SAR, Filtering, Land use, Landsat TM