TY  - BOOK
AU  - İlsever,Murat
AU  - Ünsalan,Cem
ED  - SpringerLink (Online service)
TI  - Two-Dimensional Change Detection Methods: Remote Sensing Applications 
T2  - SpringerBriefs in Computer Science,
SN  - 9781447142553
AV  - TA1637-1638 
U1  - 006.6 23
PY  - 2012///
CY  - London
PB  - Springer London, Imprint: Springer
KW  - Computer science
KW  - Computer vision
KW  - Optical pattern recognition
KW  - Computer Science
KW  - Image Processing and Computer Vision
KW  - Pattern Recognition
N1  - Introduction -- Pixel-Based Change Detection Methods -- Transformation-Based Change Detection Methods -- Structure-Based Change Detection Methods -- Fusion of Change Detection Methods -- Experiments -- Final Comments
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4471-4255-3
ER  -