Data/hora: 13/05/2024 10:08:23

Biblioteca(s): | Embrapa Territorial.
Data corrente: | 22/04/2008
Data da última atualização: | 22/08/2014
Autoria: | LU, D.; BATISTELLA, M.; MORAN, E.
Afiliação: | D. Lu ( Indiana University); Batistella, M. (Embrapa Monitoramento por Satélite); E. Moran ( Indiana University Bloomington Indiana USA).
Título: | Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM + and Radarsat data.
Ano de publicação: | 2007
Fonte/Imprenta: | International Journal of Remote Sensing, v. 28, n. 24, p. 5447-5459, 2007.
ISBN: | 1366-5901
DOI: | 16.1080f01431160701227596
Idioma: | Inglês
Conteúdo: | Land-cover classification with remotely sensed data in moist tropical regions in a challenge due to the complex biophysical conditions. This paper explores techniques to improve land-cover classification accuracy through a comparative analysis of different combinations of spectral signatures and textures from Landsat Enhanced Thematic Mapper Plus (ETM +) and Radarsat data. A wavelet-merging technique was used to integrate Landsat ETM + multispectral and panchromatic data or Radarsat data. Grey-level co-occurrence matrix (GLCM) textures based on Landsat ETM + panchromatic of Radarsat data and different sizes of moving windows were examined. A maximum-likelihood classifier was used to implement image classification for different combinations. This research indicates the important role of textures in improving land-cover classification accuracies in Amazonian environments. ...
Palavras-Chave: | Amazon; land-cover; Landsat ETM+.
Categoria do assunto: | --
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/107127/1/2101.pdf
Registro original: | Embrapa Territorial (CNPM)
Exemplares: | CNPM - (2101-1) - UPC - AP - PP - 07/049 - AP - 2007.049 - DIS