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77951188293
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Active selection of sensor sites in remote sensing applications
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Proc. IEEE Int'l Conf. Data Mining
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Das, D.1
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2
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66549117136
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Reducing need for collocated ground and satellite based observations in statistical aerosol optical depth estimation
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Boston, MA
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Das, D., Radosavljevic, V., Vucetic, S., Obradovic, Z. 2008. Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation, IEEE Int'l Geoscience and Remote Sensing Symposium, Boston, MA.
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IEEE Int'l Geoscience and Remote Sensing Symposium
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Das, D.1
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A statistical complement to deterministic algorithms for retrieving aerosol optical thickness from radiance data
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34948855292
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Data mining support for improvement of MODIS aerosol retrievals
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Denver, CO
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Han, B., Obradovic, Z, Li, Z., Vucetic, S., 2006b. Data Mining Support for Improvement of MODIS Aerosol Retrievals, Proc. IEEE Int'l Geoscience and Remote Sensing Symp., Denver, CO.
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Proc. IEEE Int'l Geoscience and Remote Sensing Symp.
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Han, B.1
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84924062783
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Integration of deterministic and statistical algorithms for aerosol retrieval
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Lillie, France
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Han, B.1
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84924083351
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Construction of an accurate geospatial predictor by fusion of global and local models
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Han, B., Vucetic, S., Braverman, A., Obradovic, Z. 2005b. Construction of an Accurate Geospatial Predictor by Fusion of Global and Local Models, Proc. IEEE 8th Int'l Conf. Information Fusion, B.11.2 pp. 1-8, Philadelphia, PA.
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21444451632
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Quality and compatibility analyses of global aerosol products derived from the advanced very high resolution radiometer and moderate resolution imaging spectroradiometer
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Evaluation of the MODIS aerosol retrievals over ocean and land during clams
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Levy, R. C., Remer, L. A., Martins, L.V., Kaufman, Y.J., Plana- Fattori, A., Redemann, J., Wenny, B. 2005. Evaluation of the MODIS Aerosol Retrievals over Ocean and Land during CLAMS, J. Atmos. Sci., vol. 62(4), pp. 974-992.
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84924050650
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Data mining support for aerosol retrieval and analysis - project summary
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Pasadena, CA
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Obradovic, Z, Han, B., Xu, Q., Li, Y., Braverman, A., Li, Z., Vucetic, S. 2006. Data Mining Support for Aerosol Retrieval and Analysis - Project Summary, NASA Data Mining Workshop, Pasadena, CA.
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NASA Data Mining Workshop
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Obradovic, Z.1
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Vucetic, S.7
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A data mining technique for aerosol retrieval across multiple accuracy measures
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Radosavljevic, V., Vucetic, S., Obradovic, Z. 2010a. A Data Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures, IEEE Geoscience and Remote Sensing Letters, vol. 7, no.2, pp. 411-415.
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11
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84936939646
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Continuous conditional random fields for regression in remote sensing
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Lisbon, Portugal
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Radosavljevic, V., Obradovic, Z., Vucetic, S. 2010b. Continuous Conditional Random Fields for Regression in Remote Sensing, Proc. 19th European Conf. on Artificial Intelligence, Lisbon, Portugal.
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th European Conf. on Artificial Intelligence
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Radosavljevic, V.1
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Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols
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Paris, France
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Radosavljevic, V., Vucetic, S., Obradovic, Z. 2009. Reduction of Ground-Based Sensor Sites for Spatio-Temporal Analysis of Aerosols, Proc. 3rd International Workshop on Knowledge Discovery from Sensor Data at the 15th ACM SIGKDD Conf. Knowledge Discovery and Data Mining, Paris, France.
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Radosavljevic, V.1
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13
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52649181609
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Spatio- Temporal partitioning for improving aerosol prediction accuracy
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Atlanta, GA
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Radosavljevic, V., Vucetic, S., Obradovic, Z. 2008. Spatio- Temporal Partitioning for Improving Aerosol Prediction Accuracy, Proc. Eight SIAM Int'l Conf. Data Mining, Atlanta, GA.
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Proc. Eight SIAM Int'l Conf. Data Mining
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Radosavljevic, V.1
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14
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0035824399
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Atmosphere - Aerosols, climate, and the hydrological cycle
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Remer, L.A.1
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84924064291
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Evaluation of a neural networks based approach for aerosol optical depth retrieval and uncertainty estimation
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Thessaloniki, Greece
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Ristovski, K., Vucetic, S., Obradovic, Z. 2009. Evaluation of a Neural Networks based Approach for Aerosol Optical Depth Retrieval and Uncertainty Estimation, Proc. Int'l Conf. on Space Technology, Thessaloniki, Greece.
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Proc. Int'l Conf. on Space Technology
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Ristovski, K.1
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38349159570
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A data mining approach for the validation of aerosol retrievals
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Vucetic, S., Han, B., Mi, W., Li, Z., Obradovic, Z. 2008. A Data Mining Approach for the Validation of Aerosol Retrievals, IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 1, pp. 113-117.
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85020940186
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Improving aerosol retrieval performance by integrating aeronet, misr, and modis data products
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Xu, Q., Han, B., Li, Y., Braverman, A., Obradovic, Z., Vucetic, S. 2005. Improving Aerosol Retrieval Performance by Integrating AERONET, MISR, and MODIS Data Products, Proc. IEEE 8th Int'l Conf. Information Fusion, B.11.3 pp. 1-8, Philadelphia, PA.
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52649089695
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Aerosol optical depth prediction from satellite observations by multiple instance regression
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Zhuang, W., Radosavljevic Han, B., Obradovic, Z., Vucetic, S. 2008. Aerosol Optical Depth Prediction from Satellite Observations by Multiple Instance Regression, Proc. Eight SIAM Int'l Conf. Data Mining,, Atlanta, GA.
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Proc. Eight SIAM Int'l Conf. Data Mining
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