期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2000
卷号：XXXIII Part B7(/1-4)
页码：559-566
出版社：Copernicus Publications
摘要：The developments in remote sensing technology have further enhanced the opportunity to integrate a varity of images from different sensors of different part of electro magnetic spectrum, to provide data sets with complimentary information content and improving the spatial resolution of the satellite imagery. The process of integrating optical and microwave data become a valuable approach to serves as tools for forest reso urces evaluation over time and present at regular interval. Monitoring the paradigm of forest resources by Landsat Thematic Mapper (TM) has been a problem due to the dependence on the atmospheric conditions. Thus, the exploration of merging optical and radar data must therefore be investigated. This paper shows that we can improve the spectral and spatial quality and enhance ability to accurately detect the forest resources by using some algorithms that bring together optical (TM) and Satellite Synthetic Aperture Radar SAR data (ERS-1, JERS-1 and Radarsat). The fusion techniques proposed allow us to distinguish more forest cover types and sho w a good indicator which corresponding in contributio n additional information, in order to manage forest resources in effective and efficient manner
