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Lidar (/ ˈ l aɪ d ɑːr /, also LIDAR, an acronym of "light detection and ranging" [1] or "laser imaging, detection, and ranging" [2]) is a method for determining ranges by targeting an object or a surface with a laser and measuring the time for the reflected light to return to the receiver.
Photo interpretation at the U.S. National Photographic Interpretation Center during the Cuban Missile Crisis.. Aerial photographic and satellite image interpretation, or just image interpretation when in context, is the act of examining photographic images, particularly airborne and spaceborne, to identify objects and judging their significance. [1]
Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications. This is a list of computer software which can be used for manual annotation of images.
The LAS (LASer) format is a file format designed for the interchange and archiving of lidar point cloud data. It is an open, binary format specified by the American Society for Photogrammetry and Remote Sensing (ASPRS). The format is widely used [1] and regarded as an industry standard for lidar data. [2] [3]
DNA annotation or genome annotation is the process of identifying the locations of genes and all of the coding regions in a genome and determining what those genes do. An annotation (irrespective of the context) is a note added by way of explanation or commentary. Once a genome is sequenced, it needs to be annotated to make sense of it. [49]
For example, optical technology may encounter many difficulties with dark, shiny, reflective or transparent objects. For example, industrial computed tomography scanning , structured-light 3D scanners , LiDAR and Time Of Flight 3D Scanners can be used to construct digital 3D models , without destructive testing .
The National Imagery Interpretability Rating Scale (NIIRS) is an American subjective scale used for rating the quality of imagery acquired from various types of imaging systems.
Optical cross section (OCS) is a value which describes the maximum amount of optical flux reflected back to the source. [1] The standard unit of measurement is m 2 /sr. OCS is dependent on the geometry and the reflectivity at a particular wavelength of an object.