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Machine learning approaches for high-resolution urban land cover classification: a comparative study.

, , , , , and . COM.Geo, page 11:1-11:10. ACM, (2011)

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High resolution urban feature extraction for global population mapping using high performance computing., , and . IGARSS, page 278-281. IEEE, (2007)Accelerating satellite image based large-scale settlement detection with GPU., , , and . BigSpatial@SIGSPATIAL, page 43-51. ACM, (2012)Overhead image statistics., , , , , , and . AIPR, page 1-8. IEEE Computer Society, (2008)Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis., , , , , , , and . ISVC, volume 3804 of Lecture Notes in Computer Science, page 543-552. Springer, (2005)Modeling spatial dependencies in high-resolution overhead imagery., , and . AIPR, page 1-5. IEEE Computer Society, (2010)Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities., , , , , , , , , and 3 other author(s). IGARSS, page 48-51. IEEE, (2010)The Effects of Quality Control on Decreasing Error Propagation in the LandScan USA Population Distribution Model: A Case Study of Philadelphia County., , , , , and . Trans. GIS, 13 (2): 215-228 (2009)Machine learning approaches for high-resolution urban land cover classification: a comparative study., , , , , and . COM.Geo, page 11:1-11:10. ACM, (2011)Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (4): 1164-1176 (2012)