Hierarchical segmentation of multiresolution remote sensing images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6671 LNCS, Issue , 2011, Pages 343-354

  Kurtz, Camille ^a   Passat, Nicolas ^a   Puissant, Anne ^b   Gançarski, Pierre ^a  

^a UNIVERSITÉ DE STRASBOURG   (France)

^b UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

Hierarchical segmentation; interactive automated segmentation; multiresolution; multisource images; partition trees; remote sensing; urban analysis

Indexed keywords

HIERARCHICAL SEGMENTATION; INTERACTIVE/AUTOMATED SEGMENTATION; MULTI-RESOLUTIONS; MULTI-SOURCE IMAGES; PARTITION-TREES; URBAN ANALYSIS; BINARY PARTITION TREE; HIERARCHICAL APPROACH; MULTI-RESOLUTION REMOTE SENSING; MULTIRESOLUTION; VERY HIGH SPATIAL RESOLUTIONS;

BINARY TREES; CLASSIFICATION (OF INFORMATION); GEOMETRICAL OPTICS; IMAGE RECONSTRUCTION; MATHEMATICAL MORPHOLOGY; MORPHOLOGY; PLANT EXTRACTS; REMOTE SENSING; SIGNAL PROCESSING; USER INTERFACES; FORESTRY; IMAGE PROCESSING;

IMAGE SEGMENTATION;

EID: 79960277895     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21569-8_30     Document Type: Conference Paper

References (21)

1. Akcay, H.G., Aksoy, S.: Automatic detection of geospatial objects using multiple hierarchical segmentations. IEEE Transactions on Geoscience and Remote Sensing 46(7), 2097-2111 (2008)
2. Baatz, M., Hoffmann, C., Willhauck, G.: Progressing from object-based to object-oriented image analysis. In: Blaschke, T., Lang, S., Hay, G.J. (eds.) Object-Based Image Analysis. LNCS, ch. 1.2, pp. 29-42. Springer, Heidelberg (2008)
3. Barnsley, M.J., Barr, S.L.: Distinguishing urban land-use categories in fine spatial resolution land-cover data using a graph-based, structural pattern recognition system. Computers, Environment and Urban Systems 21(3), 209-225 (1997)
4. Blaschke, T.: Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing 65(1), 2-16 (2010)
5. Gaetano, R., Scarpa, G., Poggi, G.: Hierarchical texture-based segmentation of multiresolution remote-sensing images. IEEE Transactions on Geoscience and Remote Sensing 47(7), 2129-2141 (2009)
6. Inglada, J., Michel, J.: Qualitative spatial reasoning for high-resolution remote sensing image analysis. IEEE Transactions on Geoscience and Remote Sensing 47(2), 599-612 (2009)
7. Kurtz, C., Passat, N., Gançarski, P., Puissant, A.: Multiresolution region-based clustering for urban analysis. International Journal of Remote Sensing 31(22), 5941-5973 (2010)
8. Kurtz, C., Puissant, A., Passat, N., Gançarski, P.: An interactive approach for extraction of urban patterns from multisource images. In: Symposium of JURSE 2011, Joint Urban Remote Sensing Event - 6th Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (to appear, 2011)
9. Monasse, P., Guichard, F.: Scale-space from a level lines tree. Journal of Visual Communication and Image Representation 11(2), 224-236 (2000)
10. Pavlidis, T.: Structural pattern recognition. Springer, Heidelberg (1977)
11. Pesaresi, M., Benediktsson, J.A.: A new approach for the morphological segmentation of high-resolution satellite imagery. IEEE Transactions on Geoscience and Remote Sensing 39(2), 309-320 (2001)
12. Puissant, A., Weber, C.: The utility of Very High Spatial Resolution images to identify urban objects. Geocarto International 17(1), 33-44 (2002)
13. Salembier, P., Garrido, L.: Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval. IEEE Transactions on Image Processing 9(4), 561-576 (2000)
14. Salembier, P., Oliveras, A., Garrido, L.: Antiextensive connected operators for image and sequence processing. IEEE Transactions on Image Processing 7(4), 555-570 (1998)
15. Serra, J.C., Salembier, P.: Connected operators and pyramids. In: Dougherty, E.R., Gader, P.D., Serra, J.C. (eds.) Image Algebra and Morphological Image Processing IV, vol. 2030, pp. 65-76. SPIE, San Diego (1993)
16. Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 888-905 (2000)
17. Soille, P.: Constrained connectivity for hierarchical image decomposition and simplification. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(7), 1132-1145 (2008)
18. Soille, P.: Constrained connectivity for the processing of very-high-resolution satellite images. International Journal of Remote Sensing 31(22), 5879-5893 (2010)
19. Sun, W., Heidt, V., Gong, P., Xu, G.: Information fusion for rural land-use classification with high-resolution satellite imagery. IEEE Transactions on Geoscience and Remote Sensing 41(4), 883-890 (2003)
20. Valero, S., Salembier, P., Chanussot, J.: New hyperspectral data representation using binary partition tree. In: IEEE International Geoscience and Remote Sensing Symposium, vol. 2, pp. 80-83 (2010)
21. Vilaplana, V., Marques, F., Salembier, P.: Binary partition trees for object detection. IEEE Transactions on Image Processing 17(11), 2201-2216 (2008)