将高度计数据注入到相同时空分辨率的红外图像中，提高图像和DEM的分类精度

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.615223

Liu Zhen, Li Shukai

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引用次数: 0

摘要

地形效应和辐射效应是影响遥感影像分类精度的两个关键因素。利用DEM进行地形归一化是一种有价值的工具。由于图像采集时间与DEM不同，在地形归一化过程中产生了新的误差。使用相同时空分辨率的图像和DEM可以明显提高图像分类和DEM精度。DEM有助于辐射校正，另一方面，图像提供了一些地球物体的信息来恢复DEM。开发了一种能够同步提供高精度DEM和遥感影像的新系统。

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Infusion of altimeter data to same spatial, temporal resolution infrared images to improve the accuracy of the classification of images and DEM

The topographic effect and radiation effect are two key elements which affect the accuracy of classification of the remote sensing image. Topographical normalization is a valuable tool by use of DEM. Because the time when the image is acquired differs from that of DEM, a new error was induced in the procedure of topographical normalization. It is obvious that the image classification and DEM accuracies can be improved by use of the same spatial temporal and spatial resolution image and DEM. The DEM help radiation correction, on the other hand, the image provide some information on Earth objects to restore DEM. A new system was developed, which can provide highly accurate DEM and remote sensing image synchronously.

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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.