@InProceedings{KuplichShimServSano:2009:PoSiCl,
author = "Kuplich, Tatiana Mora and Shimabukuro, Yosio Edemir and Servello,
Emerson and Sano, Edson Eyji",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Empresa Brasileira de Pesquisa
Agropecu{\'a}ria (EMBRAPA)}",
title = "Polarimetric signatures and classification of tropical land
covers",
booktitle = "Proceedings...",
year = "2009",
pages = "V118--V121",
organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
publisher = "IEEE",
keywords = "C-bands, Classification accuracy, Corner reflection, Covariance
matrices, Field campaign, K-means, Land cover, Land cover mapping,
National forests, Radarsat-2, SAR data, Scattering mechanisms,
Soil class, Study areas, Target decomposition, Tropical forest,
Tropical lands, Covariance matrix, Geology, Landforms,
Polarimeters, Polarographic analysis, Remote sensing, Targets,
Tropics, Coherent scattering.",
abstract = "Polarimetric signatures for different tropical land covers were
extracted from RADARSAT-2 data. Subsequently, the data were
classified. The objective of this work was to assess the potential
of RADARSAT-2 polarimetric C band data on land cover mapping.
RADARSAT-2 data were acquired over Tapajos National Forest, a
tropical forest reserve in Brazil, and surroundings, in September
2008. A field campaign was conducted during the same week of the
SAR data recording. Polarimetric signatures for the different land
covers were extracted for co- and cross-polarised bands and
results indicated the variety of scattering mechanisms in the
study area. Following that, the coherence and covariance matrices
were used for the Freeman-Durden target decomposition, which
decomposed the image targets in new bands representing the main
scattering mechanism in the resolution cells corner reflection,
volumetric and superficial. Data were later classified by a
k-means-Wishart classifier. The bands representing volumetric and
superficial scattering helped discriminating vegetated and
nonvegetated areas. Classification accuracy reached around 80% for
forest and pasture/bare soil classes. For the remaining classes,
the classification accuracy results did not reach 50%.",
conference-location = "Cape Town",
conference-year = "12-17 Jul. 2009",
doi = "10.1109/IGARSS.2009.5417717",
url = "http://dx.doi.org/10.1109/IGARSS.2009.5417717",
isbn = "978-142443395-7",
label = "lattes: 8997858562195060 1 KuplichShimServSano:2009:PoSiCl",
language = "en",
organisation = "Institute of Electrical and Electronics Engineers,Geoscience and
Remote Sensing Society",
targetfile = "0500118tatiana.pdf",
volume = "5",
urlaccessdate = "20 maio 2024"
}