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18 August 1998 Geometric retrieval of cloud top height from MISR imagery
Jia Zong
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Proceedings Volume 3501, Optical Remote Sensing of the Atmosphere and Clouds; (1998) https://doi.org/10.1117/12.317757
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China
Abstract
The multi-stage imaging spectroradiometer (MISR) instrument, a part of NASA's the Earth Observing System (EOS), is to be launched in 1999 aboard the EOS AM-1 satellite. The MISR instrument consists of nine pushbroom cameras pointing at discrete view angles. Multi-angle imagery form MISR creates opportunities to retrieve new scientific parameters relating to the earth's aerosols, clouds, and surface. This paper focuses on the accurate geometric retrieval of cloud top height from MISR data. It consists of three major processing steps. The first process projects and registers multi-angle MISR radiance imagery to an ellipsoidal earth surface represented by the WGS-84 ellipsoid. The results of this processing provides not only surface registration but also near epipolar imaging geometry. The next processing step separates the cloud motion and cloud height. Traditionally, this has been considered a singular problem in photogrammetry even with stereo imagery. However, a separation condition does exist with satellite imaging and multiple MISR camera look-angles. The last processing step automatically retrieves cloud-top height field in high resolution from ellipsoid-projected MISR radiance imagery. This paper present the above three processing steps starting from an accurate and efficient projection of multi-angle MISR image data to the ellipsoid surface, followed by a mathematical derivation which separates the cloud motion and height, and finally an automatic image matching and ray intersection algorithm for high resolution cloud top height retrieval.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Jia Zong "Geometric retrieval of cloud top height from MISR imagery", Proc. SPIE 3501, Optical Remote Sensing of the Atmosphere and Clouds, (18 August 1998); https://doi.org/10.1117/12.317757
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KEYWORDS
Clouds
Cameras
Image processing
Image retrieval
Imaging systems
Image segmentation
Image resolution
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