SPECTRAL MATCHING THROUGH DATA COMPRESSION

This paper proposes to use compression-based similarity measures to cluster spectral signatures on the basis of their similarities. Such universal distances estimate the shared information between two objects by comparing their compression factors, which can be obtained by any standard compressor. E...

Full description

Bibliographic Details
Main Authors: D. Cerra, J. Bieniarz, J. Avbelj, P. Reinartz, R. Müller
Format: Article
Language:English
Published: Copernicus Publications 2012-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W19/75/2011/isprsarchives-XXXVIII-4-W19-75-2011.pdf