A novel protocol for accuracy assessment in classification of very high resolution multispectral and SAR images

Lorenzo Bruzzone, Claudio Persello

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

13 Citations (Scopus)

Abstract

This paper presents a novel protocol for the accuracy assessment of thematic maps obtained by the classification of very high resolution images. As the thematic accuracy alone is not sufficient to adequately characterize the geometrical properties of classification maps, we propose a novel protocol that is based on the analysis of two families of indexes: (i) the traditional thematic accuracy indexes, and (ii) a set of geometric indexes that characterize different geometric properties of the objects recognized in the map. These indexes can be used in the training phase of a classifier for identifying the parameters values that optimize classification results on the basis of a multi-objective criterion. Experimental results obtained on Quickbird images show the effectiveness of the proposed protocol in selecting classification maps characterized by better tradeoff between thematic and geometric accuracy with respect to standard accuracy measures.
Original languageEnglish
Title of host publicationProceedings of IGARSS 2008
Subtitle of host publicationInternational Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA.
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
PagesII-265 - II-268
ISBN (Electronic)978-1-4244-2808-3 (CD)
ISBN (Print)978-1-4244-2807-6
DOIs
Publication statusPublished - 2008
Externally publishedYes

Keywords

  • ADLIB-ART-324

Fingerprint

Dive into the research topics of 'A novel protocol for accuracy assessment in classification of very high resolution multispectral and SAR images'. Together they form a unique fingerprint.

Cite this