Title :
Use of Landsat TM image segmentation for smoothing ERS-1 SAR imagery in combined multi-sensor landscape classification
Author :
Schoenmakers, R.P.H.M. ; Wilkinson, G.G. ; Schouten, Th.E.
Author_Institution :
Joint Res. Centre, Comm. of the Eur. Communities, Ispra, Italy
Abstract :
The combination of Landsat TM and ERS-1 SAR data can potentially lead to improved land cover mapping. Initially however SAR data must undergo speckle noise filtering. In southern Europe where land cover units are very small conventional filtering techniques can remove valuable information. The paper describes the potential use of segmentation of Landsat TM data to describe boundaries which can serve as a basis for SAR speckle noise filtering prior to incorporation in integrated multi-sensor classification
Keywords :
filtering and prediction theory; image processing; image segmentation; remote sensing; remote sensing by radar; speckle; synthetic aperture radar; ERS-1 SAR imagery; Landsat TM image segmentation; boundaries; combined multisensor landscape classification; land cover mapping; smoothing; southern Europe; speckle noise filtering; Adaptive optics; Filtering; Image edge detection; Image segmentation; Optical filters; Optical noise; Remote sensing; Satellites; Smoothing methods; Speckle;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322113