Digital techniques for image processing and automatic classification in remote sensing applications are described. Digital filters, suitable for radar noise reduction, are first described. Some algorithms using the Bayes rule or block distance for the automatic classification and discrimination of agricultural crops are presented. Microwave images, obtained by employing synthetic aperture radars and collected during the European SAR campaign, are used to evaluate the performance of these processing algorithms.

DIGITAL PROCESSING TECHNIQUES AND MULTIPECTRAL CLASSIFICATION OF MICROWAVE REMOTE SENSING IMAGES / G. BENELLI; V. CAPPELLINI; E. DEL RE. - In: ALTA FREQUENZA. - ISSN 0002-6557. - STAMPA. - 55:(1986), pp. 365-372.

DIGITAL PROCESSING TECHNIQUES AND MULTIPECTRAL CLASSIFICATION OF MICROWAVE REMOTE SENSING IMAGES

CAPPELLINI, VITO;DEL RE, ENRICO
1986

Abstract

Digital techniques for image processing and automatic classification in remote sensing applications are described. Digital filters, suitable for radar noise reduction, are first described. Some algorithms using the Bayes rule or block distance for the automatic classification and discrimination of agricultural crops are presented. Microwave images, obtained by employing synthetic aperture radars and collected during the European SAR campaign, are used to evaluate the performance of these processing algorithms.
1986
55
365
372
G. BENELLI; V. CAPPELLINI; E. DEL RE
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/360671
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