8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
A SEMANTIC-BASED MULTILEVEL APPROACH TO CHANGE DETECTION IN VERY HIGH GEOMETRICAL RESOLUTION MULTITEMPORAL IMAGES.ppt
1. Lorenzo Bruzzone Francesca Bovolo A SEMANTIC-BASED MULTILEVEL APPROACH TO CHANGE DETECTION IN VERY HIGH GEOMETRICAL RESOLUTION MULTITEMPORAL IMAGES E-mail: lorenzo.bruzzone@ing.unitn.it Web page: http://rslab.disi.unitn.it
2. Outline Lorenzo Bruzzone, Francesca Bovolo Introduction on change detection in VHR images General approach to change detection in VHR images Experimental results 1 Conclusion Illustration on the use of the approach for the solution of a specific change detection problem 2 3 4 5
3.
4. July 2006 October 2005 Quickbird images acquired on a portion of the city of Trento (Italy) Lorenzo Bruzzone, Francesca Bovolo Introduction: Change Detection in VHR Images
5.
6. Lorenzo Bruzzone, Francesca Bovolo Proposed Approach: Architecture Design Multitemporal data set Identification of the tree of radiometric changes Direct extraction of changes of interest Refined detection of the radiometric change of interest Change detection map Differential extraction of changes of interest by cancellation Selection of the strategy for detecting changes of interest Auxiliary information Detection of all radiometric changes Detection of the changes of interest
7. Lorenzo Bruzzone, Francesca Bovolo Changes due to acquisition conditions ( Acq ) Differences in atmospheric conditions ( Atm ) Differences in acquisition system ( Sys ) Changes occurred on the ground ( Grd ) Vegetation Phenology ( veg ) Anthropic activity ( Ant ) Natural disasters ( Dis ) Environmental conditions ( Env ) Radiometric Changes( rad ) Sensor view angle Sensor acquisition mode Type of sensor Seasonal effects Identification of the Tree of Radiometric Changes
8. Lorenzo Bruzzone, Francesca Bovolo Proposed Approach: Architecture Design Multitemporal data set Identification of the tree of radiometric changes Direct extraction of changes of interest Refined detection of the radiometric change of interest Change detection map Differential extraction of changes of interest by cancellation Selection of the strategy for detecting changes of interest Auxiliary information Detection of all radiometric changes Detection of the changes of interest Change Vector Analysis, Context-sensitive techniques, etc.
9. Lorenzo Bruzzone, Francesca Bovolo Detection of Changes of Interest Refined detection of the radiometric change of interest Non-relevant change 1 Detection of radiometric changes Non-relevant change 2 Non-relevant change N - + Direct detection of changes of interest Differential detection by cancellation - - + + + + Map of changes Map of changes X 1 X 2 Detection of change of interest 1 Detection of change of interest K X 1 X 2
10. Lorenzo Bruzzone, Francesca Bovolo O 1 O 2 P 1 P 2 X 1 X 2 Meta-levels fusion Map of a specific Radiometric change Pixel radiometry Geometric or statistic primitives Classification map, object map,… Multilevel Architecture: Semantic of Changes Pixel Meta-level ( px ) Primitive Meta-level ( p ) Object Meta-level ( o ) j =1,…, Jpx j =1,…, Jp j =1,…, Jo O P
11. October 2004 July 2006 Reference Map Data Set Description Study area: South part of Trento (Italy). Multitemporal data set: portion (380×430 pixels) of two images acquired by the Quickbird satellite in October 2004 and July 2006. Causes of Change: changes on the ground , seasonal changes , registration noise.
12. Lorenzo Bruzzone, Francesca Bovolo Proposed Approach: Architecture Design Multitemporal data set Identification of the tree of radiometric changes Direct extraction of changes of interest Refined detection of the radiometric change of interest Change detection map Differential extraction of changes of interest by cancellation Selection of the strategy for detecting changes of interest Auxiliary information Detection of all radiometric changes Detection of the changes of interest Change Vector Analysis, Context-sensitive techniques, etc.
13. Identification of the Tree of Radiometric Changes Lorenzo Bruzzone, Francesca Bovolo Rad sh rn Sys Grd Veg Ant at gl b Grassland New buildings Shadow changes Apple trees Registration noise
14. Changes Tree and Detection Strategy Lorenzo Bruzzone, Francesca Bovolo Rad sh rn Sys Grd Shadow changes Registration noise Identification of the tree of radiometric changes Refined detection of Grd Detection of sh Detection of radiometric Changes (CVA) Detection of rn - + - + Differential detection by cancellation Map of changes X 1 X 2
15. Multilevel Representation of Radiometric Changes Lorenzo Bruzzone, Francesca Bovolo X 1 X 2 Pixel Meta-level ( px ) Primitive Meta-level ( p ) Magnitude of multispectral change vectors Shadow change index Parcel map Registration noise map Image radiometry Shadow Index Segmentation map S. Marchesi, F. Bovolo, L. Bruzzone, “ A Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images ”, IEEE Transactions on Image Processing , Vol. 19, pp. 1877-1889, 2010. F. Bovolo, “A Multilevel Parcel-Based Approach to Change Detection in Very High Resolution Multitemporal Images,” IEEE Geoscience and Remote Sensing Letters, Vol. 6, No. 1, pp. 33-37, January 2009. L. Bruzzone and D. Fernández-Prieto, "Automatic Analysis of the Difference Image for Unsupervised Change detection," IEEE Trans. Geosci. Rem. Sens., vol. 38, pp. 1170-1182, 2000. V. J. D. Tsai, "A comparative study on shadow compensation of color aerial images in invariant color models," IEEE Trans. Geosci. Remote Sens., vol. 44, pp. 1661-1671, 2006.
16. Lorenzo Bruzzone, Francesca Bovolo Proposed Approach: Block Scheme X 1 X 2 Shadow detection Parcel detection Multiscale analysis for rn detection CVA Comparison sh detection rad detection ={ nc , Grd } Change-detection map Magnitude of multispectral change vectors Shadow change index Shadow index - - +
