面向遥感图像分类算法的流程可视化研究
发布时间：2018-11-03 09:56
【摘要】：近年来，遥感数据得到了越来越广泛的应用，随着遥感数据的应用水平不断提高，目前的遥感应用系统对可视化的需求也在日益增加。本文针对现有的遥感应用系统中的流程可视化处理问题，分析了目前遥感应用系统可视化的处理特点，构建了一种面向遥感图像分类算法的流程可视化模型。在遥感应用系统中，以基于支持向量机的遥感图像分类算法为例，验证了该模型的可用性。本文主要研究内容如下： （1）针对遥感应用系统对可视化过程要求高，数据处理量大的特点，通过对现有的遥感应用系统中图像分类算法的基本流程进行分析，综合考虑流程可视化的特点，总结出了一种面向遥感应用系统的图像分类算法的基本处理流程。 （2）根据现有的遥感图像分类算法流程，提出了一种流程可视化模型。该模型以一种基于目标的流程活动为模型的基础元素，通过人机交互的选择器提供可视化功能和人机交互的接口，使用模板知识库保存流程数据，实现了对定制化流程的描述。 （3）在遥感图像分类算法的流程可视化定制过程中，本模型对基于支持向量机的遥感图像分类算法的效率和精度影响不大。最后将模型应用在“XX对地观测综合业务处理平台”中，，可在一定程度上解决遥感应用的流程定制可视化的问题。
[Abstract]:In recent years, remote sensing data has been more and more widely used. With the improvement of the application level of remote sensing data, the demand for visualization of remote sensing application system is increasing day by day. Aiming at the process visualization problem in the existing remote sensing application system, this paper analyzes the processing characteristics of the current remote sensing application system, and constructs a flow visualization model for remote sensing image classification algorithm. In the remote sensing application system, the availability of the model is verified by taking the classification algorithm of remote sensing image based on support vector machine as an example. The main contents of this paper are as follows: (1) in view of the high requirement of the remote sensing application system for the visualization process and the large amount of data processing, the basic flow chart of the image classification algorithm in the existing remote sensing application system is analyzed. Considering the characteristics of flow visualization, the basic processing flow of image classification algorithm for remote sensing application system is summarized. (2) according to the existing algorithm flow of remote sensing image classification, a flow visualization model is proposed. The model takes a goal-based process activity as the basic element of the model, provides the visual function and the interface of human-computer interaction through the selector of human-computer interaction, saves the process data by using the template knowledge base, and realizes the description of the customized process. (3) in the process of visualization customization of remote sensing image classification algorithm, this model has little effect on the efficiency and precision of remote sensing image classification algorithm based on support vector machine. Finally, the model is applied to the "XX platform for Integrated operational processing of Earth observation", which can solve the problem of flow customization visualization of remote sensing applications to a certain extent.
【学位授予单位】：河南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP751
本文编号：2307457
[Abstract]:In recent years, remote sensing data has been more and more widely used. With the improvement of the application level of remote sensing data, the demand for visualization of remote sensing application system is increasing day by day. Aiming at the process visualization problem in the existing remote sensing application system, this paper analyzes the processing characteristics of the current remote sensing application system, and constructs a flow visualization model for remote sensing image classification algorithm. In the remote sensing application system, the availability of the model is verified by taking the classification algorithm of remote sensing image based on support vector machine as an example. The main contents of this paper are as follows: (1) in view of the high requirement of the remote sensing application system for the visualization process and the large amount of data processing, the basic flow chart of the image classification algorithm in the existing remote sensing application system is analyzed. Considering the characteristics of flow visualization, the basic processing flow of image classification algorithm for remote sensing application system is summarized. (2) according to the existing algorithm flow of remote sensing image classification, a flow visualization model is proposed. The model takes a goal-based process activity as the basic element of the model, provides the visual function and the interface of human-computer interaction through the selector of human-computer interaction, saves the process data by using the template knowledge base, and realizes the description of the customized process. (3) in the process of visualization customization of remote sensing image classification algorithm, this model has little effect on the efficiency and precision of remote sensing image classification algorithm based on support vector machine. Finally, the model is applied to the "XX platform for Integrated operational processing of Earth observation", which can solve the problem of flow customization visualization of remote sensing applications to a certain extent.
【学位授予单位】：河南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP751
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