Beware of per-pixel characterization of land cover
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چکیده
منابع مشابه
Beware of per-pixel characterization of land cover
A simulation experiment was carried out to analyse the e ects of the modulation transfer function on our ability to estimate the proportions of land cover within a pixel by linear mixture modelling. In the simulated landscape the proportionof each land cover type in every pixel was known exactly. The standard error of the estimate (SEE) between percentages derived from mixture modelling and th...
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Per-pixel and sub-pixel are two common classification methods in land cover studies. The characteristics of a landscape, particularly the land cover itself, can affect the accuracies of both methods. The objectives of this study were to: (1) compare the performance of sub-pixel vs. per-pixel classification methods for a broad heterogeneous region; and (2) analyze the impact of land cover hetero...
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a School of Geographical Sciences and Urban Planning, Arizona State University, P.O. Box 875302, Tempe, AZ 85287-5302, United States b Global Institute of Sustainability, Arizona State University, PO Box 875402, Tempe, AZ 85287, United States c Department of Geography, Geology, and Anthropology, Indiana State University, Terre Haute, IN 47809, United States d Potsdam-Institute for Climate Impac...
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A hybrid segmentation procedure to integrate contexcompared to traditional per-pixel maximum likelihood classification results. Elsevier Science Inc., 2000 tual information with per-pixel classification in a metropolitan area land cover classification project is described and evaluated. It is presented as a flexible tool within a INTRODUCTION commercially available image processing environment...
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Over the last few years, support vector machines (SVMs) have shown a great potential as classifiers for remotely sensed data. Generally, these have been used to perform conventional hard classification where each pixel is allocated to only one class. Remote sensing images, particularly at coarse spatial resolutions, are contaminated with mixed pixels that contain more than one class on the grou...
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ژورنال
عنوان ژورنال: International Journal of Remote Sensing
سال: 2000
ISSN: 0143-1161,1366-5901
DOI: 10.1080/014311600210641