A review of EO image information mining

Authors: Marco Quartulli and Igor García

Date: 01.01.2013

ISPRS Journal of Photogrammetry and Remote Sensing


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Abstract

We analyze the state of the art of content-based retrieval in Earth observation image archives focusing on complete systems showing promise for operational implementation. The different paradigms at the basis of the main system families are introduced. The approaches taken are considered, focusing in particular on the phases after primitive feature extraction. The solutions envisaged for the issues related to feature simplification and synthesis, indexing, semantic labeling are reviewed. The methodologies for query specification and execution are evaluated. Conclusions are drawn on the state of published research in Earth observation (EO) mining.

BIB_text

@Article {
author = {Marco Quartulli and Igor García},
title = {A review of EO image information mining},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
pages = {11-28},
volume = {75},
keywds = {

Remote sensing, Databases, Content-based image retrieval, EO mining, Information retrieval


}
abstract = {

We analyze the state of the art of content-based retrieval in Earth observation image archives focusing on complete systems showing promise for operational implementation. The different paradigms at the basis of the main system families are introduced. The approaches taken are considered, focusing in particular on the phases after primitive feature extraction. The solutions envisaged for the issues related to feature simplification and synthesis, indexing, semantic labeling are reviewed. The methodologies for query specification and execution are evaluated. Conclusions are drawn on the state of published research in Earth observation (EO) mining.


}
isi = {1},
date = {2013-01-01},
year = {2013},
}
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