Wayne L Myers

(Author)

Pattern-Based Compression of Multi-Band Image Data for Landscape AnalysisPaperback, 19 November 2010

Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis
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Part of Series
Environmental and Ecological Statistics
Print Length
190 pages
Language
English
Publisher
Springer
Date Published
19 Nov 2010
ISBN-10
1441942718
ISBN-13
9781441942715

Description

We offer here a non-conventional approach to muhivariate ima- structured data for which the basis is well tested but the analytical ramifi- cations are still unfolding. Although we do not formally pursue them, there are several parallels with the nature of neural networks. We employ a systematic set of statistical heuristics for modeling multivariate image data in a quasi-perceptual manner. When the human eye perceives a scene, the elements of the scene are segregated heuristically into compo- nents according to similarity and dissimilarity, and then the relationships among the components are interpreted. Similarly, we segregate or seg- ment the scene into hierarchically organized components that are subject to subsequent statistical analysis in many modes for interpretive purposes. We refer to the segregated scene segments as patterns, since they provide a basis for perception of pattern. Since they are also hierarchically organ- ized, we refer to them further as polypatterns. This leads us to our acro- nym of Progressively Segmented Image Modeling As Poly-Patterns (PSIMAPP). Likewise, we formalize our approach in terms of pattern processes and segmentation sequences. In alignment with the terminology of image analysis, we refer to our multivariate measures as being signal bands.

Product Details

Authors:
Wayne L MyersGanapati P Patil
Book Format:
Paperback
Country of Origin:
NL
Date Published:
19 November 2010
Dimensions:
23.39 x 15.6 x 1.12 cm
Genre:
Ecology
ISBN-10:
1441942718
ISBN-13:
9781441942715
Language:
English
Location:
New York, NY
Pages:
190
Publisher:
Weight:
299.37 gm

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