Urban-Area Segmentation Using Visual Words
العنوان: | Urban-Area Segmentation Using Visual Words |
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المؤلفون: | Jacob Goldberger, Lior Weizman |
المصدر: | IEEE Geoscience and Remote Sensing Letters. 6:388-392 |
بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2009. |
سنة النشر: | 2009 |
مصطلحات موضوعية: | Normalization (statistics), Pixel, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Visual dictionary, Pattern recognition, Image segmentation, Geotechnical Engineering and Engineering Geology, Object detection, Robustness (computer science), Computer vision, Segmentation, Visual Word, Artificial intelligence, Electrical and Electronic Engineering, Image sensor, business |
الوصف: | In this letter, we address the problem of urban-area extraction by using a feature-free image representation concept known as ldquoVisual Words.rdquo This method is based on building a ldquodictionaryrdquo of small patches, some of which appear mainly in urban areas. The proposed algorithm is based on a new pixel-level variant of visual words and is based on three parts: building a visual dictionary, learning urban words from labeled images, and detecting urban regions in a new image. Using normalized patches makes the method more robust to changes in illumination during acquisition time. The improved performance of the method is demonstrated on real satellite images from three different sensors: LANDSAT, SPOT, and IKONOS. To assess the robustness of our method, the learning and testing procedures were carried out on different and independent images. |
تدمد: | 1558-0571 1545-598X |
DOI: | 10.1109/lgrs.2009.2014400 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::68b68478e2d4babe5d142e4a1e622075 https://doi.org/10.1109/lgrs.2009.2014400 |
Rights: | OPEN |
رقم الانضمام: | edsair.doi...........68b68478e2d4babe5d142e4a1e622075 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15580571 1545598X |
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DOI: | 10.1109/lgrs.2009.2014400 |