DocumentCode :
1015814
Title :
Geostatistical Solutions for Super-Resolution Land Cover Mapping
Author :
Boucher, Alexandre ; Kyriakidis, Phaedon C. ; Cronkite-Ratcliff, Collin
Author_Institution :
Stanford Univ., Stanford
Volume :
46
Issue :
1
fYear :
2008
Firstpage :
272
Lastpage :
283
Abstract :
Super-resolution land cover mapping aims at producing fine spatial resolution maps of land cover classes from a set of coarse-resolution class fractions derived from satellite information via, for example, spectral unmixing procedures. Based on a prior model of spatial structure or texture that encodes the expected patterns of classes at the fine (target) resolution, this paper presents a sequential simulation framework for generating alternative super-resolution maps of class labels that are consistent with the coarse class fractions. Two modes of encapsulating the prior structural information are investigated-one uses a set of indicator variogram models, and the other uses training images. A case study illustrates that both approaches lead to super-resolution class maps that exhibit a variety of spatial patterns ranging from simple to complex. Using four different examples, it is demonstrated that the structural model controls the patterns seen on the super-resolution maps, even for cases where the coarse fraction data are highly constraining.
Keywords :
Monte Carlo methods; geophysical signal processing; image resolution; image texture; terrain mapping; geostatistical solution; satellite information; sequential indicator simulation framework; spatial patterns; spatial resolution maps; spectral procedure; structural model; super-resolution land cover mapping; variogram models; Geography; Geology; Image reconstruction; Information science; Inverse problems; Markov random fields; Probability distribution; Satellites; Spatial resolution; Uncertainty; Geostatistics; spatial uncertainty; subpixel mapping;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2007.907102
Filename :
4407620
Link To Document :
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