| In recent years, remote sensing data has been more widely used and developed, with the application ofremote sensing data continues to improve, the remote sensing application system have faced more andmore requirement of processing visualization. In this paper,we deal with the problem of processingvisualizationin the existing remote sensing application system, analyze the current remote sensingapplication system visualization processing features to build a remote sensing image classificationalgorithm for flow visualization models. We take a remote sensing image classification algorithmbased onsupport vector machinesto verify the availability of the model which is used in a remote sensing applicationsystem.The main contents are as follows:1. For remote sensing application system for the visualization process requires high volume dataprocessing features, through the application of the basic processes of existing remote sensing imageclassification algorithm system for analysis, considering the characteristics of flow visualization, summedup one for remote sensing applications system image classification algorithm basic processes.2. Under the existing procedure for remote sensing image classification algorithm, we propose aprocess visualization models. The model is based on the process to a target activity-based elements,provides visualization and interactive human-computer interaction through the choice of interface, using atemplate repository preservation process data, to achieve a customized process description.3. In remote sensing image classification algorithm that processes visual customization process, themodel has little effect on the efficiency and accuracy of SVM-based remote sensing image classificationalgorithm. Finally, the model is used in the project named "XX Earth Observation business processplatform", which in the process of remote sensing applications can be customized to solve a visual problemto a certain extent. |
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