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Title: Comments on airborne ISR radar utilization.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
Personal time
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the SPIE Defense & Security Symposium 2016 held April 17-21, 2016 in Baltimore, MD.
Country of Publication:
United States

Citation Formats

Doerry, Armin W. Comments on airborne ISR radar utilization.. United States: N. p., 2016. Web.
Doerry, Armin W. Comments on airborne ISR radar utilization.. United States.
Doerry, Armin W. 2016. "Comments on airborne ISR radar utilization.". United States. doi:.
title = {Comments on airborne ISR radar utilization.},
author = {Doerry, Armin W.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 1

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  • Abstract not provided.
  • Abstract not provided.
  • The US Geological Survey (USGS) has been systematically collecting side-looking airborne radar (SLAR) image data for the US since 1980. The image strip swaths, ranging in width from 20 to 46 km, are acquired commercially by X-band (3 cm) radar systems. Data are acquired with 60 percent side-lap for better mosaic preparation and stereoscopic capability. The image strips are assembled into 1[degree] x 2[degree] mosaic quadrangles that are based on the USGS 1:250,000-topographic map series for control, format, and nomenclature. These mosaics present the data in a broad synoptic view that facilitates geologic interpretation. SLAR image mosaics have been preparedmore » for more than 35 percent of the US west of the Rocky Mountain front. In addition to quadrangle mosaics, regional composite mosaics have been prepared as value-added products. These include Pacific Northwest (14 quadrangles), southern California Coastal (from San Francisco to San Diego), Reno-Walker (includes parts of Yellowstone and Grand Teton National Parks), Uinta Basin (Salt Lake City, Price and Grand Junction), and Salton Sea Region (San Diego, Santa Ana, El Centro and Salton Sea). Most of the image data are available on computer compatible tapes and photographic products. To make the data more accessible and reasonably priced, the strip images are being processed into CD-ROM (compact disc, read-only memory). One demonstration CD-ROM includes the mosaics of Las Vegas, Mariposa, Ritzville, Walla Walla, and Pendleton quadrangles.« less
  • Analysis of radar imagery together with digital elevation data allows classification of the most likely lithology exposed at the ground surface. The authors extracted a digital X-band side-looking airborne radar (SLAR) mosaic of the Indian Springs 1:100,000 quadrangle from a larger image of the Las Vegas 1:250,000 quadrangle available on CD-ROM from the US Geological Survey, and registered it to landmarks. They modeled radar back scatter as a function of three variables: surface roughness at the scale of the 3 cm wavelength of the X-band radar, the surface lithology, and the incidence angle of the radar beam. They assumed thatmore » surface roughness and lithology would correlate strongly, and divided the quadrangle into the following units: late Proterozoic clastic sediments, Paleozoic carbonates, Tertiary sediments, Tertiary volcanics, Quaternary alluvium, and quaternary playas. They subdivided Paleozoic carbonates into forested areas of the Sheep Range and the unforested remainder of the quadrangle, giving a total of seven map units. Graphs of radar back scatter versus incidence angle show widespread scatter, but each lithologic unit shows a characteristic and distinctive trend. Using the relationships derived from selected training areas, they can do a reasonable job classifying the surface lithologies of the quadrangle. While multiple band and polarization radar imagery obviously provides much greater potential for scene classification, single band radar imagery can be combined with elevation data to produce a reasonable estimate of surface lithology.« less