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Image variance and spatial structure in remotely sensed scenesDigital images derived by scanning air photos and through acquiring aircraft and spcecraft scanner data were studied. Results show that spatial structure in scenes can be measured and logically related to texture and image variance. Imagery data were used of a South Dakota forest; a housing development in Canoga Park, California; an agricltural area in Mississppi, Louisiana, Kentucky, and Tennessee; the city of Washington, D.C.; and the Klamath National Forest. Local variance, measured as the average standard deviation of brightness values within a three-by-three moving window, reaches a peak at a resolution cell size about two-thirds to three-fourths the size of the objects within the scene. If objects are smaller than the resolution cell size of the image, this peak does not occur and local variance simply decreases with increasing resolution as spatial averaging occurs. Variograms can also reveal the size, shape, and density of objects in the scene.
Document ID
19850007956
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Woodcock, C. E.
(Boston Univ. Boston, MA, United States)
Strahler, A. H.
(City Univ. of New York)
Date Acquired
August 12, 2013
Publication Date
January 1, 1984
Publication Information
Publication: Texas A and M Univ. Proc. of the 2nd Ann. Symp. on Math. Pattern Recognition and Image Analysis Program
Subject Category
Earth Resources And Remote Sensing
Accession Number
85N16265
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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