Multi-modal knowledge base generation from very high resolution satellite imagery for habitat mapping
Abstract
Monitoring of ecosystems entails the evaluation of contributing factors by the expert ecologist. The aim of this study is to examine to what extent the quantitative variables, calculated solely by the spectral and textural information of the space-borne image, may reproduce verified habitat maps. 555 spectral and texture attributes are extracted and calculated from the image. Results reached an overall accuracy of 65% per object, 76% per pixel, and 77% in reproducing the original objects with segmentation. Taking into consideration the large number of different habitats queried and the lack of any ancillary information the results suggest the discriminatory power of the finally selected attributes. Potential and limitations are discussed.
Autore Pugliese
Tutti gli autori
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Manakos I.; Technitou E.; Petrou Z.; Karydas C.; Tomaselli V.; Veronico G.; Mountrakis G.
Titolo volume/Rivista
European Journal of Remote Sensing
Anno di pubblicazione
2016
ISSN
2279-7254
ISBN
Non Disponibile
Numero di citazioni Wos
Nessuna citazione
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Numero di citazioni Scopus
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Ultimo Aggiornamento Citazioni
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Settori ERC
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Codici ASJC
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