Multisensor fusion through fuzzy reasoning. Application to land-cover classification using ERS-1/JERS-1 SAR composites
نویسندگان
چکیده
In this paper, fuzzy-based multisensor data fusion is studied and an iterative fuzzy classifier is proposed. Obtained results are given as a set of two maps: a thematic map, and a confidence map (a classification certainty map representing the degree of certainty in the thematic map). The application of this classifier using ERS-1/JERS-1 SAR composites is shown to very promising.
منابع مشابه
Multisensor data fusion using fuzzy concepts
In this study, a fuzzy-based multisensor data fusion classifier is developed and applied to land cover classification using ERS-1/JERS-1 SAR composites. This classifier aims at the integration of multisensor and contextual information in a single and a homogeneous framework. Initial Fuzzy Membership Maps (FMM) to different thematic classes are first calculated using classes and sensors a priori...
متن کاملMonitoring of Deforestation in Tropical Rain Forest Areas by Using Insar - Comparison between L-band and C-band Sar -
ABSTRACT: The author compared the capability of coherence information obtained from interferometric SAR (InSAR) by C-band SAR of ERS-1 and 2 and by L-band SAR of JERS-1 for the purpose of monitoring the changes of tropical rain forest due to deforestation. The test site was a southern part of Sumatra Island with 50 by 50 kilometers coverage. The several repeat-pass interferometric data pairs by...
متن کاملMapping and monitoring land cover in Corumbiara area, Brazilian Amazônia, using JERS-1 SAR multitemporal data
This paper discusses the use of a JERS-1 Synthetic Aperture Radar (SAR) time-series for mapping and monitoring land cover in a test site in the region of Corumbiara, Rondônia State, western Brazilian Amazônia. In order to support JERS-1 data analysis, land cover maps were obtained by digital classification of Landsat TM images acquired from 1993 to 1997 period, following a procedure based on im...
متن کاملLand-use Classification Using Sar-images
This paper studies the applicability of ERS-1 and JERS SAR-images to land-use classification. Different factors affecting classification accuracy like environmental conditions of study area, speckle filtering, spatial averaging, texture measures and different ways to use temporal images are discussed. Classification experiment employing three principal component images computed from median filt...
متن کاملUse of Landsat Tm Fraction Images to Quantify the Optical and Sar Data Relationships for Land Cover Discrimination in the Brazilian Amazonia
This paper presents a comparison between L-band HH JERS-1 SAR and Landsat TM data for land cover assessment in an Amazonian test site. For this, a study area located in the south of Rondônia State, western Brazilian Amazonia, was selected. The Landsat TM data acquired on August 1 1997 were converted to vegetation, soil, and shade fraction images, using a Linear Spectral Mixing Model. These frac...
متن کامل