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15 Pixels

15 Pixels. 15 Pixels. 15 Pixels. 15 Pixels. Perimeter = 256 Area = 127 SI = 2.02. Perimeter = 47.1 Area = 176.7 SI = 0.27. IMAGE PROCESSING PIPELINE and supporting tools. Image Acquisition If required, web-based imagery is downloaded. Resampler

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15 Pixels

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  1. 15 Pixels 15 Pixels 15 Pixels 15 Pixels Perimeter = 256 Area = 127 SI = 2.02 Perimeter = 47.1 Area = 176.7 SI = 0.27

  2. IMAGE PROCESSING PIPELINEand supporting tools Image Acquisition If required, web-based imagery is downloaded Resampler 256x256 tiles are resampled into desired dimensions and resolution Training Training image tiles are generated from user labels (supervised) or a uniformly random distribution Feature Extraction If required, texture and shape metric features are generated UNSUPERVISED Labeling User-sampled points are assigned to user-defined classes SMOOTHING / SUPER RESOLUTION For classification images that already exist, these images can be fed directly into theenergy minimization to benefit from smoothingor to be reformulated at a higher spatial resolution SUPERVISED Variances Update Class-conditioned Variances MRF Energy Minimization Means Update Class-conditioned Means FUTHER ITERATION REQUIRED SceneAnnotator WebImageDownloader MRFLandClassifer

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