Atualização de Documento

XIX SBSR

Formulário de atualização

O sistema de atualização, para eventuais correções, estará ativo até 30/11/2019.

Contato: bibdigital@inpe.br


Nome do Campo		Valor do Campo
Tipo de Referência		Artigo em Evento (Conference Proceedings)
Título do Trabalho	(*)(?)
	Não esqueça de clicar na opção "+" para informar os dados dos co-autores, se tiver.		v
1° Autor	(*)(?)
Grupo (1° Autor)
Afiliação (1° Autor)
e-Mail (1° Autor)
2° Autor	(*)(?)
Grupo (2° Autor)
Afiliação (2° Autor)
e-Mail (2° Autor)
Páginas	(*)
Tipo Secundário
Palavras-Chave	(*)(?)
Resumo	(*)(?)	Single, dual, and quad-polarization mode data at spaceborne L-band were evaluated for the classification of seven land use classes in an area with shifting cultivation practices located in the Eastern Amazon (Brazil). We evaluated Advanced Land-Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) derived backscattering intensity, polarimetric features, interferometric coherence and texture parameters for classification purposes using support vector machines (SVM) and feature selection. Results showed that the forest classes were characterized by low temporal backscattering intensity variability, low coherence and high entropy. Quad polarization mode performed better than dual and single polarizations but overall accuracies remain low and were affected by precipitation events on the date and prior SAR date acquisition. Misclassifications were reduced by integrating Landsat data and an overall accuracy of 85% was attained. We show that in absence of Landsat data, polarimetric features extracted from quad-polarization L-band increase classification accuracies when compared to single and dual polarization alone. We argue that the joint analysis of SAR and their derived parameters with optical data performs even better and thus encourage the further development of joint techniques.
Tema	(*)
FileName	(?)
e-Mail (login)		banon