Paper
14 November 2007 New method for assessment of geometry correction of remote sensing imagery
Huaguo Zhang, Weigen Huang, Dongling Li, Changbao Zhou
Author Affiliations +
Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67900K (2007) https://doi.org/10.1117/12.743403
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In this paper, a new method is presented for assessing the precision based on the analysis of the distribution of the ground control and check points. First, a question is presented by analyzing the precision of the geometry correction of remote sensing. Especially, in the coastal area, the ground control and check points are infrequent and non-homogeneous. Maybe, only small part of the remote sensing image (e.g. one island) is needed for application. But, if is the precision of the part fit the requirement? Then, a model is developed for describe the spatial distribution of the finite points. Through analyzing the finite points on the remote sensing image, each point has its effect range. In the study, the effect range is defined as the monopolized-range. The ratio of the monopolized-range to whole image is a valid index for the points' distribution. Finally, the model is used in a coastal remote sensing application. The result shows that the precision of geometry correction can be showed quantitatively on the image, which is very useful for assessment of remote sensing information.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huaguo Zhang, Weigen Huang, Dongling Li, and Changbao Zhou "New method for assessment of geometry correction of remote sensing imagery", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67900K (14 November 2007); https://doi.org/10.1117/12.743403
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KEYWORDS
Remote sensing

Precision calibration

Ecology

Reliability

Coastal modeling

Error analysis

Lithium

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