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Remotely sensed data fusion which blends multi-sensor observations to generate synthetic fused data, is regarded as a possible cost-effective approach to tackle with the fixed tradeoff among satellite sensors' spatial, temporal, spectral, and angular characteristics. However, previous studies mainly focus on one-to-one fusion mode, and unified fusion studies are still limited. This paper aims to construct...
With the rapid development of remote sensing and computer technologies, remote sensing image data obtained by satellite isincreasing dramatically [1]. The speed has exceeded one TB each day and will obviously increase in the future. How to manage it efficiently becomes a problem because traditional waysare expensive and difficultto extend. Hence, we need a scalable and parallel processing model. HBaseand...
Chaotic sequences, as a kind of pseudorandom sequences, have been widely used. But some well known chaotic sequences, such as Hyperhenon sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Hyperhenon map to S-Hyperhenon map, and S-Hyperhenon sequence has excellent autocorrelation performance and simple structure,...
Since the introduction of CUDA (Compute Unified Device Architecture), GPU (Graphics Processing Unit) was used in various fields rapidly. Some researchers used the GPU computing technology in remote sensing image processing, and revealed that one hundred times speedup could be obtained. Current GPU-based approaches need to load all the image data at a time prior to image processing. However, the current...
DGIP (Distributed Geographic Information Processing) has become a new tendency of GIS (Geographic Information System) recently. DGIP focuses on how to organize and process a series of geographic resources in distributed computing environment and now existing research is mainly carried out from a global point of view. But it is noticeable that each computing node in distributed computing environment...
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