版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:COMMISS EUROPEAN COMMUNITIESJOINT RES CTRINST REMOTE SENSING APPLICATI-21020 ISPRAVARESEITALY
出 版 物:《INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SYSTEMS》 (国际地理信息科学杂志)
年 卷 期:1996年第10卷第1期
页 面:85-101页
核心收录:
学科分类:1205[管理学-图书情报与档案管理] 07[理学] 0705[理学-地理学] 070501[理学-自然地理学]
摘 要:Major developments are now taking place in the integration of remote sensing data with GIS. Techniques such as the use of knowledge based systems and artificial neural networks appear to offer much potential for the extraction of improved geographical information from current remotely-sensed satellite imagery. Whilst the use of such techniques offers much promise in environmental monitoring and management, a number of fundamental problems remain such as choice of appropriate data structures, and procedures for handling error and uncertainty. Over the next ten years the complexity of remotely sensed datasets will grow significantly through use of multi-sensor, hyperspectral, and multi-view angle approaches besides use of time series. Current GIS techniques and technology are not appropriate to handle the much increased dimensionality of such datasets and new developments are needed both in visualization tools, and in spatial and temporal analysis tools.