【摘要】：近年來(lái)，遙感數(shù)據(jù)得到了越來(lái)越廣泛的應(yīng)用，隨著遙感數(shù)據(jù)的應(yīng)用水平不斷提高，目前的遙感應(yīng)用系統(tǒng)對(duì)可視化的需求也在日益增加。本文針對(duì)現(xiàn)有的遙感應(yīng)用系統(tǒng)中的流程可視化處理問(wèn)題，分析了目前遙感應(yīng)用系統(tǒng)可視化的處理特點(diǎn)，構(gòu)建了一種面向遙感圖像分類算法的流程可視化模型。在遙感應(yīng)用系統(tǒng)中，以基于支持向量機(jī)的遙感圖像分類算法為例，驗(yàn)證了該模型的可用性。本文主要研究?jī)?nèi)容如下： （1）針對(duì)遙感應(yīng)用系統(tǒng)對(duì)可視化過(guò)程要求高，數(shù)據(jù)處理量大的特點(diǎn)，通過(guò)對(duì)現(xiàn)有的遙感應(yīng)用系統(tǒng)中圖像分類算法的基本流程進(jìn)行分析，綜合考慮流程可視化的特點(diǎn)，總結(jié)出了一種面向遙感應(yīng)用系統(tǒng)的圖像分類算法的基本處理流程。 （2）根據(jù)現(xiàn)有的遙感圖像分類算法流程，提出了一種流程可視化模型。該模型以一種基于目標(biāo)的流程活動(dòng)為模型的基礎(chǔ)元素，通過(guò)人機(jī)交互的選擇器提供可視化功能和人機(jī)交互的接口，使用模板知識(shí)庫(kù)保存流程數(shù)據(jù)，實(shí)現(xiàn)了對(duì)定制化流程的描述。 （3）在遙感圖像分類算法的流程可視化定制過(guò)程中，本模型對(duì)基于支持向量機(jī)的遙感圖像分類算法的效率和精度影響不大。最后將模型應(yīng)用在“XX對(duì)地觀測(cè)綜合業(yè)務(wù)處理平臺(tái)”中，，可在一定程度上解決遙感應(yīng)用的流程定制可視化的問(wèn)題。
[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.
【學(xué)位授予單位】：河南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP751

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本文編號(hào)：2307457