Showing 801 - 820 results of 1,419 for search '"remote sensing"', query time: 0.08s Refine Results
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    Mapping Evapotranspiration of Agricultural Areas in Ghana by Kenneth Aidoo, Nana Ama Browne Klutse, Kofi Asare, Comfort Gyasiwaa Botchway, Samuel Fosuhene

    Published 2021-01-01
    “…The mapping evapotranspiration with high resolution and internalized calibration (METRIC) method is employed to create evapotranspiration map for land use, using remotely sensed data by satellite, processed, and analyzed in ArcGIS. …”
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    Research on Intelligent Evaluation System of Sports Training based on Video Image Acquisition and Scene Semantics by Yong Ma

    Published 2022-01-01
    “…First, on the basis of combing the concepts and methods of picture recognition, the semantic information of the scene was fused to eliminate the interference factors in the unnecessary detection area. Secondly, a remote sensing picture visual feature representation method containing a semantic recognition method of remote sensing picture scenes and CSIFT features based on PLSA was presented. 10 types of typical remote sensing picture scenes are used for tests, and the visual vocabulary extraction method remains the same. …”
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    Multisensor Data and Cross-Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System by Venkata Kanaka Srivani Maddala, K. Jayarajan, M. Braveen, Ranjan Walia, Patteti Krishna, Sivakumar Ponnusamy, Karthikeyan Kaliyaperumal

    Published 2022-01-01
    “…Several attempts have been made to overcome these difficulties by combining high precision remote sensing images. Furthermore, such remote sensing-based working models are better suited to extraterrestrial farmers and homogeneous agricultural areas. …”
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    Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification by Zhen-tao Qin, Wu-nian Yang, Ru Yang, Xiang-yu Zhao, Teng-jiao Yang

    Published 2015-01-01
    “…We calculated the image’s sparse coefficients using the dictionary approach, which generated the sparse representation features of the remote sensing images. The sparse coefficients are then used to classify the hyperspectral images via a linear SVM. …”
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