Information Technology Reference
In-Depth Information
References
1. Peng, T., Jermyn, I.H., Prinet, V., Zerubia, J.: Incorporating generic and specific
prior knowledge in a multi-scale phase field model for road extraction from vhr
images. IEEE Trans. Geoscience and Remote Sensing 1(2), 139-146 (2008)
2. Lafarge, F., Descombes, X., Zerubia, J.B., Deseilligny, M.P.: Automatic building
extraction from dems using an object approach and application to the 3d-city
modeling. ISPRS Journal of Photogrammetry and Remote Sensing 63(3), 365-381
(2008)
3. Ghosh, S., Bruzzone, L., Patra, S., Bovolo, F., Ghosh, A.: A context-sensitive tech-
nique for unsupervised change detection based on hopfield-type neural networks.
IEEE Trans. Geoscience and Remote Sensing 45(3), 778-789 (2007)
4. Perrin, G., Descombes, X., Zerubia, J.: 2d and 3d vegetation resource parame-
ters assessment using marked point processes. In: Proc. of the 18th International
Conference on Pattern Recognition, pp. 1-4 (2006)
5. Wiemker, R.: An iterative spectral-spatial bayesian labeling approach for unsu-
pervised robust change detection on remotely sensed multispectral imagery. In:
Proc. of Conference on Computer Analysis of Images and Patterns, pp. 263-270
(1997)
6. Bruzzone, L., Prieto, D.F.: An adaptive semiparametric and context-based ap-
proach to unsupervised change detection in multitemporal remote-sensing images.
IEEE Trans. Image Processing 11(4), 452-466 (2002)
7. Bazi, Y., Bruzzone, L., Melgani, F.: An unsupervised approach based on the gener-
alized gaussian model to automatic change detection in multitemporal sar images.
IEEE Trans. Geoscience and Remote Sensing 43(4), 874-887 (2005)
8. Gamba, P., Dell'Acqua, F., Lisini, G.: Change detection of multitemporal sar
data in urban areas combining feature-based and pixel-based techniques. IEEE
Trans. Geoscience and Remote Sensing 44(10), 2820-2827 (2006)
9. Zhong, P., Wang, R.: A multiple conditional random fields ensemble model for
urban area detection in remote sensing optical images. IEEE Trans. Geoscience
and Remote Sensing 45(12), 3978-3988 (2007)
10. Benedek, C., Sziranyi, T., Kato, Z., Zerubia, J.: Detection of object motion re-
gions in aerial image pairs with a multilayer markovian model. IEEE Trans. Image
Processing 18(10), 2303-2315 (2009)
11. Benedek, C., Sziranyi, T.: Bayesian foreground and shadow detection in uncertain
frame rate surveillance videos. IEEE Trans. Image Processing 17(4), 608-621 (2008)
12. Shah, C.A., Sheng, Y., Smith, L.C.: Automated image registration based on pseu-
doinvariant metrics of dynamic land-surface features. IEEE Trans. Geoscience and
Remote Sensing 46(11), 3908-3916 (2008)
13. Castellana, L., d'Addabbo, A., Pasquariello, G.: A composed super-
vised/unsupervised approach to improve change detection from remote sensing.
IEEE Pattern Recognition Letters 28(4), 405-413 (2007)
14. Benedek, C., Sziranyi, T.: Change detection in optical aerial images by a multi-
layer conditional mixed markov model. IEEE Trans. Geoscience and Remote Sens-
ing 47(10), 3416-3430 (2009)
15. Harris, C., Stephens, M.: A combined corner and edge detector. In: Proc. of the
4th Alvey Vision Conference, pp. 147-151 (1988)
16. Kovacs, A., Sziranyi, T.: Local contour descriptors around scale-invariant key-
points. In: Proc. of IEEE Inernational Conference on Image Processing, Cairo,
Egypt, pp. 1105-1108 (2009)
Search WWH ::
Custom Search