Temporally rendered automatic cloud extraction (TRACE) system

Dennis M. Bodrero; James G. Yale; Roger E. Davis; John Michael Rollins

doi:10.1117/12.363610

5 October 1999 Temporally rendered automatic cloud extraction (TRACE) system

Dennis M. Bodrero, James G. Yale, Roger E. Davis, John Michael Rollins

Proceedings Volume 3763, Propagation and Imaging through the Atmosphere III; (1999) https://doi.org/10.1117/12.363610
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Smoke/obscurant testing requires that 2D cloud extent be extracted from visible and thermal imagery. These data are used alone or in combination with 2D data from other aspects to make 3D calculations of cloud properties, including dimensions, volume, centroid, travel, and uniformity. Determining cloud extent from imagery has historically been a time-consuming manual process. To reduce time and cost associated with smoke/obscurant data processing, automated methods to extract cloud extent from imagery were investigated. The TRACE system described in this paper was developed and implemented at U.S. Army Dugway Proving Ground, UT by the Science and Technology Corporation--Acuity Imaging Incorporated team with Small Business Innovation Research funding. TRACE uses dynamic background subtraction and 3D fast Fourier transform as primary methods to discriminate the smoke/obscurant cloud from the background. TRACE has been designed to run on a PC-based platform using Windows. The PC-Windows environment was chosen for portability, to give TRACE the maximum flexibility in terms of its interaction with peripheral hardware devices such as video capture boards, removable media drives, network cards, and digital video interfaces. Video for Windows provides all of the necessary tools for the development of the video capture utility in TRACE and allows for interchangeability of video capture boards without any software changes. TRACE is designed to take advantage of future upgrades in all aspects of its component hardware. A comparison of cloud extent determined by TRACE with manual method is included in this paper.

Citation Download Citation

Dennis M. Bodrero, James G. Yale, Roger E. Davis, and John Michael Rollins "Temporally rendered automatic cloud extraction (TRACE) system", Proc. SPIE 3763, Propagation and Imaging through the Atmosphere III, (5 October 1999); https://doi.org/10.1117/12.363610

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KEYWORDS

Clouds

Video

Image processing

Image segmentation

Image processing algorithms and systems

Video processing

Data processing

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