Abstract: In embodiments, obtaining a plurality of image sets associated with a geographical region and a time period, wherein each image set of the plurality of image sets comprises multi-spectral and time series images that depict a respective particular portion of the geographical region during the time period, and predicting one or more crop types growing in each of particular locations within the particular portion of the geographical region associated with an image set of the plurality of image sets. Determining a crop type classification for each of the particular locations based on the predicted one or more crop types for the respective particular locations, and generating a crop indicative image comprising at least one image of the multi-spectral and time series images of the image set overlaid with indications of the crop type classification determined for the respective particular locations.

Abstract: System and method for 3D retinal disruption/elevation detection, measurement and presentation using Optical Coherence Tomography (OCT) are provided. The present invention is capable of detecting and measuring the abnormal changes of retinal layers (retinal disruptions), caused by retinal diseases, such as hard drusen, soft drusen, Pigment Epithelium Detachment (PED), Choroidal Neovascularization (CNV), Geographic Atrophy (GA), intra retinal fluid space, and exudates etc. The presentations of the results are provided with quantitative measurements of disruptions in retina and can be used for diagnosis and treatment of retinal diseases.

Abstract: System and method for 3D retinal disruption/elevation detection, measurement and presentation using Optical Coherence Tomography (OCT) are provided. The present invention is capable of detecting and measuring the abnormal changes of retinal layers (retinal disruptions), caused by retinal diseases, such as hard drusen, soft drusen, Pigment Epithelium Detachment (PED), Choroidal Neovascularization (CNV), Geographic Atrophy (GA), intra retinal fluid space, and exudates etc. The presentations of the results are provided with quantitative measurements of disruptions in retina and can be used for diagnosis and treatment of retinal diseases.

Abstract: A system and method for representing and encoding an input image. Pixels associated with the structural part of the image are referred to as “sketchable,” and pixels associated with the texture part are referred to as “non-sketchable.” A sketch graph, Ssk, is generated for the sketchable part of the input image by iteratively selecting a plurality of optimal image primitives from a dictionary of image primitives. The sketch graph may then be refined to achieve good Gestalt organization and resolve ambiguities in the graph. The non-sketchable texture regions of the image, Snsk, are computed via a simple texture clustering algorithm. In reconstructing the sketchable part of the input image, the image primitives are aligned on the sketch graph. In reconstructing the non-sketchable part of the input image, the MRF models are simulated to reproduce statistical summaries of the various texture regions using the sketchable part as boundary condition.