Remote Sensing

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Relative Positional Accuracy  Positional Accuracy Improvement (PAI)

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Representing Regions with Indeterminate Boundaries A NTHONY G. C OHN School of Computing, University of Leeds, Leeds, UK

Relevance, Spatial  Retrieval Algorithms, Spatial

Synonyms Egg-yolk Calculus; Representing regions with broad boundaries

Relevance, Textual  Retrieval Algorithms, Spatial

Reliable Real-Time Data Collection  Data Collection, Reliable Real-Time

Remote Sensing  Photogrammetric Sensors  Standards, Critical Evaluation of Remote Sensing

Remote Sensing, Aerial

Definition The problem of vagueness permeates almost every domain of knowledge representation. In the spatial domain, this is certainly true, for example it is often hard to determine a region’s boundaries (e. g. “southern England”). Vagueness of spatial concepts can be distinguished from that associated with spatially situated objects and the regions they occupy. An adequate treatment of vagueness in spatial information needs to account for vague regions as well as vague relationships. Although there has been some philosophical debate concerning whether vague objects can exist,it is assumed here that they do, and some techniques for handling them are presented, specifically for considering the mereotopological relationships that may hold between such objects.

 Evolution of Earth Observation

Historical Background

Remote Sensing, Satellite-Based  Evolution of Earth Observation

Remote Sensing Specifications  Standards, Critical Evaluation of Remote Sensing

Remote Sensing Standards  Standards, Critical Evaluation of Remote Sensing

Representational State Transfer Services  Web Services

Representing Regions with Broad Boundaries  Representing Regions with Indeterminate Boundaries

A number of approaches to representing and reasoning about regions with crisp boundaries had been developed by the mid 1990s [19,25] but the problem of treating regions with vague or indeterminate boundaries had not been specifically addressed. As a result of a workshop held in 1994 to investigate the problem of representing regions with indeterminate boundaries [7], two parallel but related calculi were proposed, each one based on one of the two main approaches to representing mereotopological relationships between two regions. The results [11,15] appear in in [7], and each approach has been further developed [12,16]. The approaches are also related to the notion of rough sets [6]. At least some of the same sorts of things about vague regions as about ‘crisp’ ones, with precise boundaries: that one contains another (southern England contains London, even if both are thought of as vague regions), that two overlap (the Sahara desert and West Africa), or that two are disjoint (the Sahara and Gobi deserts). In these cases, the two vague regions represent the space occupied by distinct entities, and we are interested in defining a vague area corresponding to the space occupied by either, by both, or by one but not the other. There might also be

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