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With the rapid development of information technologies and GIS techniques, raster data amount is growing on an unprecedented scale. Existing WebGIS based on local file systems and RDBMS cannot manage very large raster data efficiently because of limited storage capacity of single node. Although expensive storage devices are used to enlarge capacity, WebGIS is still vulnerable to suffer from single...
In this paper, we present an approach to construct a built-in block-based hierarchical index structures, like R-tree, to organize data sets in one, two, or higher dimensional space and improve the query performance towards the common query types (e.g., point query, range query) on Hadoop distributed file system (HDFS). The query response time for data sets that are stored in HDFS can be significantly...
Geometric correction with the compute intensive characteristic is the critical step in the processing of remote sensing image. As is known, the correction based on polynomial transform will lead to significant computing errors when applied to the region with fluctuant terrain. In this paper we present a novel and more precise parallel triangular geometric correction algorithm to deal with the image...
The fusion of remote sensing images can effectively combine two or more source images into a single image with more information of the spatial resolution and spectral information. In this paper we present a novel parallel fusion algorithm based on intensity-hue-saturation (IHS) transform and nonsubsampled contourlet transform (NSCT) to deal with the panchromatic (PAN) image and multispectral (MS)...
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