Open AccessDissertation
Land Cover Classification Accuracy from Electro-Optical, X, C, and L-Band Synthetic Aperture Radar Data Fusion
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The article was published on 2016-01-01 and is currently open access. It has received 5 citations till now. The article focuses on the topics: Interferometric synthetic aperture radar & Synthetic aperture radar.read more
Citations
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Proceedings Article
Image Processing
TL;DR: The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images.
Journal Article
Remote sensing information extraction of urban entironment
TL;DR: In this article, the urban entironment effect and remote sensing interpretation ability synthetically were classified into eight classes, including residential areas, water bodies, urban virescence and agriculture.
Journal ArticleDOI
Comparison and integration of Landsat optical and PALSAR quad polarization radar: a case study in Bangladesh
Arjun Sheoran,Barry Haack +1 more
TL;DR: In this paper, the utility of radar texture and sensor fusion for land cover/use classification is analyzed. And the accuracy of four land covers/uses in Bangladesh using spaceborne quad polarization radar from the Japanese ALOS PALSAR system and optical Landsat Thematic Mapper (TM) data were evaluated.
References
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Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Classification and Regression by randomForest
Andy Liaw,Matthew C. Wiener +1 more
TL;DR: random forests are proposed, which add an additional layer of randomness to bagging and are robust against overfitting, and the randomForest package provides an R interface to the Fortran programs by Breiman and Cutler.
Journal ArticleDOI
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
TL;DR: A generalized gray-scale and rotation invariant operator presentation that allows for detecting the "uniform" patterns for any quantization of the angular space and for any spatial resolution and presents a method for combining multiple operators for multiresolution analysis.
Journal ArticleDOI
World Map of the Köppen-Geiger climate classification updated
TL;DR: A new digital Koppen-Geiger world map on climate classification, valid for the second half of the 20 th century, based on recent data sets from the Climatic Research Unit of the University of East Anglia and the Global Precipitation Climatology Centre at the German Weather Service.