星载多模微波传感器的计算机仿真

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.615895

Z. Yunhua, Jiang Jingshan

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引用次数: 0

摘要

简要介绍了将于未来在中国如期发射的星载多模微波传感器的计算机仿真软件开发工作。他们选择Borland c++ 3.1 for Windows作为开发平台，基于Pentium PC，因此可以保证丰富的颜色，并且易于实现友好的界面。他们使用了VISC (Visualization in Scientific Computing)的一些技术进行演示和图形表示。该软件正在改进中，尚未完成。作者认为，该方法不仅对星载微波传感器的设计具有重要意义，而且对丰富星载微波传感器的测量数据库具有重要意义。

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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Computer simulation of Spaceborne Multimode Microwave Sensors

The authors give a brief introduction about their work on the development of computer software for simulation of the Spaceborne Multimode Microwave Sensors which will be launched in the future in China as scheduled. They have selected Borland C++ 3.1 for Windows based on Pentium PC as the developing platform, so plenty of colors can be guaranteed and a friendly interface can be easily realized. They have used some techniques of VISC (Visualization in Scientific Computing) for demo and graph presentation. This software is being improved and is not yet complete. The authors believe that it will be very useful not only in the design of spaceborne microwave sensors but also for enriching the measurement data library after it has bean completed.

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来源期刊

遥感信息

自引率

0.00%

发文量

3984

期刊介绍： Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.