Title :
Polsar scene classification based on fast approximate neareast neighbours search
Author :
Chen, Lijun ; Yang, Wen ; Liu, Ying ; Sun, Hong
Author_Institution :
Sch. of Electron. Inf., Wuhan Univ., Wuhan, China
Abstract :
In this paper, we attempt to solve the efficiency problem of PolSAR scene classification with non-parametric classifier. We employ the tree-structure based search strategy to perform fast approximate nearest neighbour search by introducing the multiple randomized kd-tree and hierarchical kmeans-tree into ONBNN classifier. The experimental results on RadarSat-2 PolSAR dataset demonstrate that our method can greatly improve the efficiency with a guaranteed accuracy.
Keywords :
data analysis; geophysical image processing; geophysical techniques; image classification; synthetic aperture radar; ONBNN classification system; PoLSAR scene classification method; RadarSat-2 PolSAR dataset; fast approximate nearest neighbour search strategy; hierarchical kmeans-tree method; nonparametric classification analysis; randomized kd-tree method; tree-structure based search strategy; Accuracy; Buildings; Classification algorithms; Kernel; Search problems; Support vector machines; Training; Scene classification; kd-tree; kmeans-tree; nearest neighbor search;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049588
