基于SVG的分布式遥感图像特征提取方法

在遥感图像网络化分布式特征分析与表达过程中,有很多需要栅格数据与矢量数据的混合模型的网络化表达与传输问题,而矢量数据的网络化表达、传输与显示问题则是影响遥感图像分布式处理效率的关键性因素之一。本文首先对SVG技术及其对矢量数据的表达特点作了简介,在介绍遥感图像分布式特征提取系统的运行流程的基础上,对其在遥感图像分布式处理中相关的网络化数据表达与显示问题给出了相应的解决思路,并给出了相应的实例与效果分析。

Study of Remotely Sensed Image Distributed Feature Extraction Method Based on SVG

There are many problems that involve image data and vector data model and their internet transfer in the remotely sensed image distributed processing, especially those for feature extraction and feature expression on the internet. The vector data expression and transfer is a key problem that involves the efficiency of the remotely sensed image distributed feature extraction and processing system. This paper firstly gives a brief account of the characteristics of SVG (Scalable Vector Graphics) when it is used for vector data expression. Then it discusses the feasibility of the application of SVG on the vector data expression and transfer of the remotely sensed image distributed processing system. After giving the solution of SVG on remotely sensed image processing system, this paper analyses vector data internet expression and display of remotely sensed image feature extraction based on SVG technology by citing examples, and the running effect of the system shows the feasibility of the application of SVG technology to vector data expression on the internet.