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A geographical information system (GIS) is usually applied to integrate and manage spatial data with associated attributes. The purpose is to provide geographical information to support decision making and analysis. The importance of the GIS is even more significant as the rapid development of computer software technology is found. In addition to the usage of GIS in land policy management, municipal land use planning, public pipeline management, the GIS is also applicable in military. Strategic and tactic decisions are believed to be closely related to GIS. When the gray level or color images are used in a GIS, a large volume of space is used to store images. The requirement of a large storage space renders serious problems in data processing or transmission. A linear quadtree coding scheme, bit separation linear quadtree coding scheme (BSLQO, is proposed in this paper, The effect of the proposed BSLQ scheme can alleviate the storage problem by using a method with linear complexities of time and space to construct a quadtree. Operation of edge detection is also provided by fully making use of the hierarchical structure of quadtrees. The data structure of linear quadtrees is appropriate to detect edge since the last layer of a quadtree consists of only single-pixel level data. An edge can be easily detected if the leave nodes with associated neighbor pixels are searched and connected. Several empirical tests are implemented to analyze the characteristics of the proposed coding scheme. Six gray level images and four color images are trailed to derive the results. All results reveal that not only the compression effect of the proposed scheme can be affirmed, but also the edges in testing images can be completely found. The results of empirical tests approve the feasibility of the proposed scheme.
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