A new approach for the morphological segmentation of high-resolution satellite imagery

656 indexed citations

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This paper, published in 2001, received 656 indexed citations. Written by Martino Pesaresi and Jón Atli Benediktsson covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Media Technology (523 citations), Atmospheric Science (336 citations) and Computer Vision and Pattern Recognition (212 citations). Published in IEEE Transactions on Geoscience and Remote Sensing.

Countries where authors are citing A new approach for the morphological segmentation of high-resolution satellite imagery

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This map shows the geographic impact of A new approach for the morphological segmentation of high-resolution satellite imagery. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A new approach for the morphological segmentation of high-resolution satellite imagery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A new approach for the morphological segmentation of high-resolution satellite imagery more than expected).

Fields of papers citing A new approach for the morphological segmentation of high-resolution satellite imagery

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A new approach for the morphological segmentation of high-resolution satellite imagery. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A new approach for the morphological segmentation of high-resolution satellite imagery.

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This paper is also available at doi.org/10.1109/36.905239.

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