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Low altitude aerial photograph for use in photogrammetry. Location: Three Arch Bay, Laguna Beach, California. Photogrammetry is the science and technology of obtaining reliable information about physical objects and the environment through the process of recording, measuring and interpreting photographic images and patterns of electromagnetic radiant imagery and other phenomena.
Close Range Photogrammetry (CRP) can mean photographs taken from the ground with a handheld camera, or taken from a UAV/drone at a relatively low altitude. PhotoModeler and CRP are used for performing measurement and modeling in agriculture, archaeology, architecture, biology, engineering, fabrication, film production, forensics, mining ...
Examples of algorithms for this task include New Edge-Directed Interpolation (NEDI), [1] [2] Edge-Guided Image Interpolation (EGGI), [3] Iterative Curvature-Based Interpolation (ICBI), [citation needed] and Directional Cubic Convolution Interpolation (DCCI). [4] A study found that DCCI had the best scores in PSNR and SSIM on a series of test ...
If the images to be rectified are taken from camera pairs without geometric distortion, this calculation can easily be made with a linear transformation.X & Y rotation puts the images on the same plane, scaling makes the image frames be the same size and Z rotation & skew adjustments make the image pixel rows directly line up [citation needed].
The chief competitor to SOCET SET is the Leica Photogrammetry Suite (aka LPS, owned by ERDAS), INPHO, PHOTOMOD and Intergraph, which are also leaders in the field of photogrammetry. Other related applications that have some photogrammetry functionality include ArcGIS , ENVI , and ERDAS IMAGINE , all of which are primarily GIS or remote sensing ...
The unmanned aerial photogrammetric survey is the use of unmanned aerial vehicles (UAVs) to take photos for use in photogrammetry, the science of making measurements from photographs. Instruments manufactured for UAVs could be mounted on unmanned flying platforms of various sizes and types, such as octocopters .
Unlike prior standards, the new standards are independent of scale and contour interval, they address higher levels of accuracies achievable by the latest technologies (e.g. unmanned aerial systems and lidar mobile mapping systems), and they provide enough flexibility to be applicable to future technologies as they are developed.
Image registration or image alignment algorithms can be classified into intensity-based and feature-based. [3] One of the images is referred to as the moving or source and the others are referred to as the target, fixed or sensed images. Image registration involves spatially transforming the source/moving image(s) to align with the target image.