2.B.2 Corporate Image : meaning and definition 2.B.3 The Importance of Corporate Image 2.B.4 Factors of Corporate Image 2.B.5 Elements of Corporate Image 2.B.6 Theory of Corporate Identity 2.B.7 Creation of Corporate Image to Drive Company Brand Equity 2.B.8 Measuring the corporate ...
Object detectionStudies on deep learning have been growing rapidly in the past decade, despite its use becoming more common in computer vision [12].The last ten years have seen a sharp increase in the use and expansion of deep learning, especially in computer vision applications. The study of ...
{ "prediction":"I understand, and I'm happy to provide more information on the topic of the meaning of life. However, please keep in mind that this is a complex and philosophical topic that has been debated by scholars, philosophers, and theologians for centuries. There is no one definitiv...
apikey=XXXXXXXXXXXXX&app=ocr&infile=http://online.verypdf.com/examples/cloud-api/multipage.tif&outfile=out =eng The following URL will convert a multipage TIFF file to HTML file with English language, the output HTML file is co...
As aforementioned, very dense urban agglomerates usually cause commission error for the sand class, meaning that the algorithm classifies buildings and roads as sand because of their spectral resemblance (blue circle in Figure 6d). In contrast, when tree-lined boulevards or flowerbeds occupy part ...
can automatically explore high level spatial information and thus is promising for such tasks. This study tried to evaluate different CNN structures for classification of four smallholder agricultural landscapes in Heilongjiang, China using pan-sharpened 2 m GaoFen-1 (meaning high resolution in Chinese)...
To date, both Landsat (TM, ETM+ and OLI) and Sentinel-2 (A and B) are available in GEE, meaning that all the above mentioned issues (i.e., cloud cover, snow cover, lack of close time acquisition images of Landsat 8 solely) can be solved by integrating Landsat 7, Landsat 8 and ...