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• W89299968 abstract "With its easier availability, finer resolution and wider coverage of spectrum in recent years, remote sensing technology has emerged as a fast way for users in a variety of domains to acquire updated information. With such popularity, the needs nowadays are much greater than before, and we are even expecting an era that thousands of images may be produced per day. Although such a large number of images can certainly bring huge impacts to help us realizing the world, the accumulated data volume will sooner or later become a bottleneck for future image database. The idea of this research is to introduce human spatial concepts towards the selection of images from image databases. The core of suggested mechanism is the formalization of spatial relations based on humans’ spatial cognition. With the aids of spatial browsing capability, images that covering interested area can be selected and later retrieved. This paper integrates knowledge for image selection and human spatial concept, which is just the beginning of this still-growing research topic. 1. BACKGROUND With the technique improvement on easier availability, finer resolution and wider coverage of spectrum in recent years, remote sensing images have emerged as the most efficient way for users in a variety of domains to acquire updated information about the earth. Thousands of images from a variety of satellite platforms are produced and available via Internet nowadays. The fast development of Internet technology provides an extremely powerful environment for the sharing and distribution of remote sensing images (and of course the number of images may be overwhelming for users to handle). There are many famous image databases on Internet, such as USC-SIPI Image Database and NASA Image eXchange (NIX) etc. These databases all contain an enormous volume of images and the number of images keeps on growing everyday. Although such a large number of image databases provide a more complete coverage to the earth, it is more and more difficult for users to search images from such abundant data source. We proposed to introduce human spatial concepts into the image selection and browsing process in this paper, the ultimate goal is to reduce the difficulty of dealing with overwhelming amount of images. Image database is an important and valuable data source to GIS. An image database is often a complex data search mechanism, such that users have to be well trained before they can operate the database management system effectively. Even images satisfying users’ constraints are found, the selection of the most appropriate images may be another obstacle. An interface based on the analysis of users’ spatial searching and browsing behaviour is certainly helpful to reduce the complexity of human-computer interaction and consequently improve the querying efficiency of remote sensing images via Internet. . For example, the request of images about the city of New York can be expressed as ‘Select images that cover the city of New York.’ Since spatial relationships, such as ‘cover’ in the above example," @default.
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• W89299968 date "2002-01-01" @default.
• W89299968 modified "2023-09-23" @default.
• W89299968 title "SEARCHING AND BROWSING INTERFACE FOR IMAGE DATABASES VIA INTERNET" @default.
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