Abstract: Embodiments disclosed herein restrict a user working on digitizing GIS features to specific style parameters. This ensures creation of data that can be exported in a lossless manner to specific systems. Embodiments disclosed herein provide a mapping between styling systems of different products. Thus when digitizing features itself, users may be restricted to specify styles in a format compatible with target data, rather than in terms of product being used for digitization. Embodiments disclosed herein provide users with a familiar styling interface through customized views associated with specific style-set. Embodiments disclosed herein provide the customizability to implement styling restrictions and provide custom GUI as per user needs for a project or an organization. Embodiments disclosed herein allow authorized entities and/or users to configure new style-sets, add new style-sets, delete existing style-sets and so on.

Abstract: Disclosed herein is a method and system for performing adaptive local contrast enhancement for an image by using a linear complexity algorithm for Wallis filter. For an input image, the standard deviation and mean are computed for the first pixel in the image. The computed standard deviation and mean of the first pixel are re-used to calculate the standard deviation and mean for the nearest pixels. So, the standard deviation and mean for each pixel in the image are based on the computed standard deviation and mean of at least one other pixel in the image.

Abstract: Disclosed herein is a method and system for performing normalization of an image using a cumulative histogram and a common color map for the R, G and B channels. On receiving an instruction from a user to normalize an image, the histogram for individual channels of the image is computed. The cumulative histogram from the histogram for individual channels is computed. The linear histogram cut off percentage is tripled. The min and max positions using the histogram stretch after the percentage cutoff is adjusted. The colormap is computed using the cumulative histogram and the linear histogram cut off percentage. The colormap is applied to the image data.

Abstract: Disclosed herein is a method and system for performing normalization of an image using a cumulative histogram and a common color map for the R, G and B channels. On receiving an instruction from a user to normalize an image, the histogram for individual channels of the image is computed. The cumulative histogram from the histogram for individual channels is computed. The linear histogram cut off percentage is tripled. The min and max positions using the histogram stretch after the percentage cutoff is adjusted. The colormap is computed using the cumulative histogram and the linear histogram cut off percentage. The colormap is applied to the image data.

Abstract: Disclosed herein are a method and a system for automating data processing in satellite photogrammetry systems. The system supports generation of different types of outputs. A user, while creating a project, may specify desired quality level of outputs which will be generated as part of the project. The system based on the desired quality level of output specified by the user, chooses optimum values of parameters required to generate each output with the specified quality level. Further, the system generates all outputs with the specified quality level, using the optimum values of parameters.

Abstract: Embodiments disclosed herein restrict a user working on digitizing GIS features to specific style parameters. This ensures creation of data that can be exported in a lossless manner to specific systems. Embodiments disclosed herein provide a mapping between styling systems of different products. Thus when digitizing features itself, users may be restricted to specify styles in a format compatible with target data, rather than in terms of product being used for digitization. Embodiments disclosed herein provide users with a familiar styling interface through customized views associated with specific style-set. Embodiments disclosed herein provide the customizability to implement styling restrictions and provide custom GUI as per user needs for a project or an organization. Embodiments disclosed herein allow authorized entities and/or users to configure new style-sets, add new style-sets, delete existing style-sets and so on.

Abstract: Disclosed herein is a method and system for performing adaptive local contrast enhancement for an image by using a linear complexity algorithm for Wallis filter. For an input image, the standard deviation and mean are computed for the first pixel in the image. The computed standard deviation and mean of the first pixel are re-used to calculate the standard deviation and mean for the nearest pixels. So, the standard deviation and mean for each pixel in the image are based on the computed standard deviation and mean of at least one other pixel in the image.

Abstract: Disclosed herein is a Geographic Information System (GIS) application comprising of a plurality of collapsible drawers, wherein the drawers comprise of the tools, options and information related to the map being currently displayed. The drawers may be collapsed/expanded by the user by clicking on a handle associated with each of the drawers. The collapsed drawers enable the user access to maximum screen space, enabling them to view more information on large maps.