基于SIR-C干涉和航天激光高度计(SLA)数据的数字高程模型

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.615915

G. Sun, K. Ranson

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引用次数: 3

摘要

由于轨道参数和基线的不确定性，利用SIR-C/XSAR干涉数据反演DEM的精度受到限制。作者描述了使用SLA(穿梭激光高度计)数据作为联络点，从SIR-C干涉测量数据构建DEM。本文报道并讨论了使用初步SLA的方法和结果。

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Digital elevation models from SIR-C interferometric and Shuttle Laser Altimeter (SLA) data

Because of the uncertainties of orbit parameters and baseline, the accuracy of the DEM derived from SIR-C/XSAR interferometric data is limited. The authors describe the use of SLA (Shuttle Laser Altimeter) data as tie-points to construct a DEM from SIR-C interferometry data. The methods and results using preliminary SLA are reported and discussed.

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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.