An Automatic Cloud Tracking System Based on the Cross-Covariance Method
| dc.contributor.author | Lee, David H. | |
| dc.contributor.author | Nagle, Roland E. | |
| dc.contributor.corporate | Naval Postgraduate School (U.S.) | en_US |
| dc.date.accessioned | 2022-05-25T23:35:08Z | |
| dc.date.available | 2022-05-25T23:35:08Z | |
| dc.date.issued | 1980-08 | |
| dc.description.abstract | An automatic cloud tracking system based on the computation of the cross-covariance between satellite images has been developed. The six steps of the System for Automatic Wind Extraction from Geostationary Satellite-Data SAWEGS are preprocessing, cloud tracking, height assignment, earth location, wind vector computation, and quality control. The system embodies various unique aspects developed to address the problems encountered with an automated technique in general and this technique in particular. These aspects include histogram-based temperature slicing, cloud edge and surface enhancement, tracking trackability tests, and use of numerical analysis temperature profiles for height assignment. Examples of applying SAWEGS to visible data, to infrared data, and to a difficult tropical cyclone case show the good quality and coverage of resulting vectors as well as the remaining difficulties. | en_US |
| dc.description.funder | PE 62759N | en_US |
| dc.description.funder | PN 9F5255179 | en_US |
| dc.description.funder | NEPRF WU 6.2-12 | en_US |
| dc.format.extent | 66 p. | |
| dc.identifier.uri | https://hdl.handle.net/10945/69537 | |
| dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
| dc.title | An Automatic Cloud Tracking System Based on the Cross-Covariance Method | en US |
| dc.type | Report | en_US |
| dspace.entity.type | Publication |