Optimizing classification accuracy of estuarine macrophytes: By combining spatial and physics-based image analysis

Autor:	RJ Williams, Arnold G. Dekker, Elizabeth J. Botha, Vittorio E. Brando, Janet Anstee
Rok vydání:	2010
Předmět:	Water depth Contextual image classification Hyperspectral imaging Inversion (meteorology) Atmospheric model Inverse problem Image resolution Remote sensing Macrophyte
Zdroj:	IGARSS
DOI:	10.1109/igarss.2010.5649995
Popis:	Accurate baseline data of macrophyte extent is vital in estuarine monitoring. Previous techniques have often been laborious and subjective, while a purely empirical methodology often precludes transferring the method to other systems. The development of objective physics-based inversions models allows for the retrieval of; water depth, substratum composition and concentration of the water constituents from hyperspectral imagery. This paper describes approaches required to apply this method to QuickBird multispectral data from 2003 and 2008 over an estuarine lake. The addition of the inversion models quality control, improved the classification accuracy.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::460cbfb41d9dee0de84d4c011cc039a4 https://doi.org/10.1109/igarss.2010.5649995 Zobrazit plný text záznamu