TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Processing and classification of multichannel remote sensing data

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoAdvances in Soft Computing - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings
Sivut487-498
Sivumäärä12
Vuosikerta7095 LNAI
PainosPART 2
DOI - pysyväislinkit
TilaJulkaistu - 2011
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma10th Mexican International Conference on Artificial Intelligence, MICAI 2011 - Puebla, Meksiko
Kesto: 26 marraskuuta 20114 joulukuuta 2011

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumeroPART 2
Vuosikerta7095 LNAI
ISSN (painettu)03029743
ISSN (elektroninen)16113349

Conference

Conference10th Mexican International Conference on Artificial Intelligence, MICAI 2011
MaaMeksiko
KaupunkiPuebla
Ajanjakso26/11/114/12/11

Tiivistelmä

Several main practical tasks, important for effective pre-processing of multichannel remote sensing (RS) images, are considered in order to reliably retrieve useful information from them and to provide availability of data to potential users. First, possible strategies of data processing are discussed. It is shown that one problem is to use more adequate models to describe the noise present in real images. Another problem is automation of all or, at least, several stages of data processing, like determination of noise type and its statistical characteristics, noise filtering and image compression before applying classification at the final stage. Second, some approaches that are effective and are able to perform well enough within automatic or semi-automatic frameworks for multichannel images are described and analyzed. The applicability of the proposed methods is demonstrated for particular examples of real RS data classification.

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