Displaying Method of Remote Sensing Images Based on the Domestic Independent Controllable Platform

2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2019-05-01 DOI:10.1109/DDCLS.2019.8908876

Lichun Yang, Guangfu Ge, Dan Yang, Yingyan Gu

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引用次数: 1

Abstract

In order to improve the level of informationization and equipment construction of the army, and build a self-controllable remote sensing image processing system, a reading and displaying method is proposed for remote sensing images based on the open source raster geodatabase geospatial data abstraction library (GDAL) and the cross-platform application framework Qt. The GDAL is employed to read and sample remote sensing images, which are then displayed and rendered by the Qt graphical view framework. The experimental results show that the proposed method can run successfully on the Windows platform and the embedded real-time Delta operating system (Delta OS) platform, free from limitation of the operating environment of commercial remote sensing software platform. The proposed method can effectively improve the displaying of large-scale remote sensing images and computer's memory efficiency, and promote the development of remote sensing image processing system under the domestic independent controllable platform.

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基于国产自主可控平台的遥感影像显示方法

为了提高军队信息化和装备建设水平，构建自主可控的遥感图像处理系统，提出了一种基于开源栅格地理数据库地理空间数据抽象库(GDAL)和跨平台应用框架Qt的遥感图像读取与显示方法，利用GDAL对遥感图像进行读取与采样;然后由Qt图形视图框架显示和呈现。实验结果表明，该方法可以在Windows平台和嵌入式实时Delta操作系统(Delta OS)平台上成功运行，不受商业遥感软件平台运行环境的限制。该方法可有效提高大规模遥感图像的显示和计算机的存储效率，促进国内自主可控平台下遥感图像处理系统的发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)

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