Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis / Edition 1

Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis / Edition 1

ISBN-10:
0387444343
ISBN-13:
9780387444345
Pub. Date:
10/25/2006
Publisher:
Springer US
ISBN-10:
0387444343
ISBN-13:
9780387444345
Pub. Date:
10/25/2006
Publisher:
Springer US
Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis / Edition 1

Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis / Edition 1

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Overview

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 components 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

ISBN-13: 9780387444345
Publisher: Springer US
Publication date: 10/25/2006
Series: Environmental and Ecological Statistics , #2
Edition description: 2006
Pages: 190
Product dimensions: 6.10(w) x 9.25(h) x 0.36(d)
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