A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Improved Binary Partition Tree construction for hyperspectral images: Application to object detection
2011 IEEE International Geoscience and Remote Sensing Symposium
This paper discusses hierarchical region-based representation using Binary Partition Tree in the framework of hyperspectral data. Based on region merging techniques, this region-based representation reduces the number of elementary primitives compared to the pixelbased representation and allows a more robust filtering, segmentation, classification or information retrieval. The work presented here proposes a strategy for merging hyperspectral regions using a new association measure depending ondoi:10.1109/igarss.2011.6049723 dblp:conf/igarss/ValeroSCC11 fatcat:wh2nkt2mgzbappo4be7f4soaky