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Item Details
| Title:
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TWO-DIMENSIONAL CHANGE DETECTION METHODS
REMOTE SENSING APPLICATIONS |
| By: |
Murat Ilsever, Cem Unsalan |
| Format: |
Paperback |
| List price:
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£49.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1447142543 |
| ISBN 13: |
9781447142546 |
| Publisher: |
SPRINGER LONDON LTD |
| Pub. date: |
21 June, 2012 |
| Edition: |
2012 ed. |
| Series: |
SpringerBriefs in Computer Science |
| Pages: |
72 |
| Description: |
Investigates two-dimensional change detection methods. This title includes methods in the literature that are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. It provides the quantitative test results and their interpretations. |
| Synopsis: |
Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided. |
| Illustrations: |
22 Illustrations, color; 26 Illustrations, black and white; X, 72 p. 48 |
| Publication: |
UK |
| Imprint: |
Springer London Ltd |
| Returns: |
Returnable |
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