Applications based on restored satellite images

D. Arbel; S. Levin; M. Nir; I. Bhasteker

doi:10.1117/12.616643

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15 September 2005 Applications based on restored satellite images

D. Arbel; S. Levin; M. Nir; I. Bhasteker

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Proceedings Volume 5909, Applications of Digital Image Processing XXVIII; 590919 (2005) https://doi.org/10.1117/12.616643
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

Satellites orbit the earth and obtain imagery of the ground below. The quality of satellite images is affected by the properties of the atmospheric imaging path, which degrade the image by blurring it and reducing its contrast. Applications involving satellite images are many and varied. Imaging systems are also different technologically and in their physical and optical characteristics such as sensor types, resolution, field of view (FOV), spectral range of the acquiring channels - from the visible to the thermal IR (TIR), platforms (mobilization facilities; aircrafts and/or spacecrafts), altitude above ground surface etc. It is important to obtain good quality satellite images because of the variety of applications based on them. The more qualitative is the recorded image, the more information is yielded from the image. The restoration process is conditioned by gathering much data about the atmospheric medium and its characterization. In return, there is a contribution to the applications based on those restorations i.e., satellite communication, warfare against long distance missiles, geographical aspects, agricultural aspects, economical aspects, intelligence, security, military, etc. Several manners to use restored Landsat 7 enhanced thematic mapper plus (ETM+) satellite images are suggested and presented here. In particular, using the restoration results for few potential geographical applications such as color classification and mapping (roads and streets localization) methods.

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D. Arbel, S. Levin, M. Nir, and I. Bhasteker "Applications based on restored satellite images", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 590919 (15 September 2005); https://doi.org/10.1117/12.616643

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