Tessio Novack

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The objective of this study is to compare WorldView-2 (WV-2) and QuickBird-2-simulated (QB-2) imagery regarding their potential for object-based urban land cover classification. Optimal segmentation parameters were automatically found for each data set and the obtained results were quantitatively compared and discussed. Four different feature selection(More)
This study uses the InterIMAGE system and imagery from the QuickBird II optical sensor for the land use classification at two testsites in the metropolis of São Paulo, Brazil. InterIMAGE is an open source and free access system for knowledge-based image classification. Within InterIMAGE human knowledge is represented as a semantic net and by user-defined(More)
The image sharpening and segmentation procedures have great importance on the classification success. For this reason this work proposes to evaluate segmentation results obtained from IKONOS images sharpened by different image fusion methods and interpolation techniques. The images were processed by different image fusion methods based on Principal(More)
Feature selection methods have recently become very attractive to remote sensing researches as new object-based image analysis systems have made available tens or even hundreds of spectral, textural and geometrical features to be used in classification routines. The aim of this study is to investigate, based on different feature selection algorithms,(More)
This study uses the InterIMAGE system and imagery from the QuickBird II optical sensor for the classification of the land cover of two test-sites in the metropolis of São Paulo, Brazil. InterIMAGE is an open source and free access framework for knowledge-based image classification. Within InterIMAGE human knowledge is represented as a semantic net and by(More)
The PIMAR Project Program for Monitoring the Atlantic Rainforest Environment and Urban Growth of Rio de Janeiro through Remote Sensing, aims at the development of an operational methodology for monitoring the land cover dynamics on the borders between Atlantic rainforest remnant areas and urban areas in the city of Rio de Janeiro, Brazil. The project will(More)
The Pantanal (Brazil) is one of the world’s largest tropical wetlands. A natural phenomenon that encourages more detailed scientific studies on this region is the genesis and behavior of innumerable small lakes and ponds with open-water surfaces on the Nhecolândia region at the Taquarí alluvial fan. In this paper, we suggest a new approach to detect and(More)
In this paper rotation invariant Local Binary Patterns (LBP) texture based descriptors are evaluated experimentally in the context of land-use and land-cover object-based classification. The texture descriptors were employed in the classification of an Ikonos-2 and a Quickbird-2 image. The experiments have shown that texture characterization approaches(More)
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