In this paper, detection of land-cover/land-use transitions by using multitemporal remote-sensing images is addressed. An iterative approach based on a compound classification of multitemporal images is proposed. In particular, a technique to estimate iteratively the probabilities of transitions among classes is presented. The effectiveness of the proposed approach is confirmed by experimental results carried out on multitemporal remote-sensing images acquired by the Thematic Mapper of Landsat over an agricultural area.

Automatic technique for detecting land-cover transitions

ROLI, FABIO;
1996

Abstract

In this paper, detection of land-cover/land-use transitions by using multitemporal remote-sensing images is addressed. An iterative approach based on a compound classification of multitemporal images is proposed. In particular, a technique to estimate iteratively the probabilities of transitions among classes is presented. The effectiveness of the proposed approach is confirmed by experimental results carried out on multitemporal remote-sensing images acquired by the Thematic Mapper of Landsat over an agricultural area.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11584/180704
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact