Paper
9 April 2003 Automatic and robust method for relative radiometric calibration
Author Affiliations +
Proceedings Volume 4891, Optical Remote Sensing of the Atmosphere and Clouds III; (2003) https://doi.org/10.1117/12.467344
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
The process of relative radiometric calibration (RRC) is an important step for detecting change and monitoring environment through analyzing multi-temporal satellite images. Two key issues that focus on the RRC are how to extract invariant targets that have little or no variation in their reflectance between two images and how to acquire a linear function that expresses the relationship between the digital counts (DNs) of the two images. In this paper, an automatic method for selecting invariant targets which cover the range of bright, midrange, and dark data values is developed, and a robust estimator, which can be effective in tolerating with up to 50 percent outlier contamination, for calculating the gain and the offset of the linear function is described. The proposed methods are automatic and robust. We have applied the proposed method experimentally to synthesized images and real SPOT images, and experiment results have shown the feasibility of our algorithms.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gongjian Wen, Deren Li, and Runsheng Wang "Automatic and robust method for relative radiometric calibration", Proc. SPIE 4891, Optical Remote Sensing of the Atmosphere and Clouds III, (9 April 2003); https://doi.org/10.1117/12.467344
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KEYWORDS
Calibration

Reflectivity

Image processing

Satellites

Satellite imaging

Target detection

Earth observing sensors

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