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In HTML and XHTML, an image map is a list of coordinates relating to a specific image, created in order to hyperlink areas of the image to different destinations (as opposed to a normal image link, in which the entire area of the image links to a single destination). For example, a map of the world may have each country hyperlinked to further ...
TerraLens is designed to easily fuse and integrate a wide range of real-time data sources, including SONAR, RADAR, and LIDAR data, full-motion video, and proprietary or open-source data that includes geolocation elements with terrain elevation and satellite imagery in a wide range of formats and map projections. TerraLens is used extensively ...
the iwlog determines primary coordinates for articles in other languages; in general, primary coordinates are imported to this wiki; coordinates are used to replace {{coord missing}} with {} with the parameter display=title; dms or decimal format is kept, format=dms can be added to decimal coordinates
In computer vision, the fundamental matrix is a 3×3 matrix which relates corresponding points in stereo images.In epipolar geometry, with homogeneous image coordinates, x and x′, of corresponding points in a stereo image pair, Fx describes a line (an epipolar line) on which the corresponding point x′ on the other image must lie.
Image rectification in GIS converts images to a standard map coordinate system. This is done by matching ground control points (GCP) in the mapping system to points in the image. These GCPs calculate necessary image transforms. [11] Primary difficulties in the process occur when the accuracy of the map points are not well known
Astropy is a collection of software packages written in the Python programming language and designed for use in astronomy. [2] The software is a single, free, core package for astronomical utilities due to the increasingly widespread usage of Python by astronomers, and to foster interoperability between various extant Python astronomy packages. [3]
These images were manually extracted from large images from the USGS National Map Urban Area Imagery collection for various urban areas around the US. This is a 21 class land use image dataset meant for research purposes. There are 100 images for each class. 2,100 Image chips of 256x256, 30 cm (1 foot) GSD Land cover classification 2010 [171]
Diffusion maps exploit the relationship between heat diffusion and random walk Markov chain.The basic observation is that if we take a random walk on the data, walking to a nearby data-point is more likely than walking to another that is far away.