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Structure and Nonrigid Motion Analysis of Satellite Cloud Images (1998)
| Venue: | Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing |
| Citations: | 5 - 4 self |
BibTeX
@INPROCEEDINGS{Zhou98structureand,
author = {Lin Zhou and Chandra Kambhamettu and Dmitry B. Goldgof and Ra Kambhamettu Dmitry B. Goldgof},
title = {Structure and Nonrigid Motion Analysis of Satellite Cloud Images},
booktitle = {Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing},
year = {1998},
pages = {285--291}
}
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Abstract
This paper proposes a new method for recovering nonrigid motion and structure of clouds under affine constraints using time-varying cloud images obtained from meteorological satellites. This problem is challenging not only due to the correspondence problem but also due to the lack of depth cues in the 2D cloud images (scaled orthographic projection). In this paper, affine motion is chosen as a suitable model for small local cloud motion. However, the cloud motion model can also be extended and not necessarily be affine. Analysis of intensity images is first used to find the candidates of correspondence for each point. Then affine motion model is utilized to find the structure (cloud-top height), motion parameters, and point correspondences. Extensive analysis has been done on defining appropriate constraints on depth that are necessary for achieving converge. Finally, experimental results on time-varying images of hurricane Luis, captured by GOES-9 satellite in geosynchronous orbit are...
Keyphrases
nonrigid motion analysis satellite cloud image cloud-top height new method affine motion model orthographic projection hurricane luis motion parameter cloud motion model cloud image intensity image small local cloud motion correspondence problem geosynchronous orbit point correspondence affine constraint affine motion goes-9 satellite nonrigid motion time-varying cloud image extensive analysis meteorological satellite time-varying image appropriate constraint suitable model experimental result depth cue
