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Titolo:
Extension of environmental parameters over the land surface by improved fuzzy classification of remotely sensed data
Autore:
Maselli, F;
Indirizzi:
CNR, IATA, I-50144 Florence, Italy CNR Florence Italy I-50144CNR, IATA, I-50144 Florence, Italy
Titolo Testata:
INTERNATIONAL JOURNAL OF REMOTE SENSING
fascicolo: 17, volume: 22, anno: 2001,
pagine: 3597 - 3610
SICI:
0143-1161(20011120)22:17<3597:EOEPOT>2.0.ZU;2-J
Fonte:
ISI
Lingua:
ENG
Soggetto:
MAXIMUM-LIKELIHOOD CLASSIFICATION; TM DATA; REPRESENTATION; VEGETATION; ACCURACY; SETS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
26
Recensione:
Indirizzi per estratti:
Indirizzo: Maselli, F CNR, IATA, Ple Cascine 18, I-50144 Florence, Italy CNR Ple Cascine 18 Florence Italy I-50144 0144 Florence, Italy
Citazione:
F. Maselli, "Extension of environmental parameters over the land surface by improved fuzzy classification of remotely sensed data", INT J REMOT, 22(17), 2001, pp. 3597-3610

Abstract

Recent studies have shown that useful information can be derived from remotely sensed data to extend local environmental measurements over the land surface, A flexible fuzzy classification approach, in particular, was demonstrated to be superior to conventional multivariate regression methods for this purpose. This new extension methodology is described and discussed in detail. Next, some modifications are proposed in order to improve the consideration or the spectral information and to produce per-pixel estimates of the error committed. The performances of the original and modified methodologies are then evaluated in two case studies representative of different parameters to extend and satellite data. The results show the efficiency of the new strategy and, in particular, some improvements obtained by the modified method which testify to the effectiveness of the modifications proposed.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/09/20 alle ore 07:30:27