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Still, not all classes are consistent, i.e. The classes were determined by referring to the Ordnance Survey Landranger map of Leicester.
![erdas imagine 2014 image radiometric calibration erdas imagine 2014 image radiometric calibration](https://ohioline.osu.edu/sites/ohioline/files/imce/Food_Agricultural_and_Biological_Engineering/FABE-554.1_Fig7-General-framework-radiometric-correction_0.jpg)
The convergence describes how many of the pixels stay in the same cluster between one iteration and the next. The table below summarises the convergence for every iteration, depending on the number of classes. The difference between 6 and 10 unsupervised classes is the merger of urban and residential as well as agricultural fields. Too many, and the image will not differ noticeable from the original, too few and the selection will be too coarse. Such information is subject to change without notice.When performing an unsupervised classification it is necessary to find the right number of classes that are to be found. Hexagon Geospatial believes the information in this publication is accurate as of its publication date. All other trademarks or servicemarks used herein are property of their respective owners. Hexagon and the Hexagon logo are registered trademarks of Hexagon AB or its subsidiaries. © 2015 Hexagon AB and/or its subsidiaries and affiliates. Hexagon (Nasdaq Stockholm: HEXA B) has more than 15,000 employees in 46 countries and net sales of approximately 3.1bn USD. They are used in a broad range of vital industries. Hexagon’s solutions integrate sensors, software, domain knowledge and customer workflows into intelligent information ecosystems that deliver actionable information, automate business processes and improve productivity. Hexagon Geospatial is part of Hexagon, a leading global provider of information technologies that drive quality and productivity improvements across geospatial and industrial enterprise applications.
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#ERDAS IMAGINE 2014 IMAGE RADIOMETRIC CALIBRATION SOFTWARE#
Hexagon Geospatial provides the software products and platforms to a large variety of customers through direct sales, channel partners and other Hexagon businesses. Hexagon Geospatial helps you make sense of the dynamically changing world. The company’s flagship product – the LAStools software suite – has deep market penetration and is heavily used in industry, government agencies, research labs, and educational institutions. They combine robust algorithms with efficient I/O and clever memory management to achieve high throughput for data sets containing billions of points. Technology powerhouse rapidlasso GmbH specializes in efficient LiDAR processing tools that are widely known for their high productivity. Sample LAStools workflow created with the Spatial Modeler of ERDAS IMAGINE. These new tools empower users to validate, quality-check, clean, classify, thin, raster, contour, and compress LiDAR pointclouds in LAS or LAZ formats as well as directly consume and further analyze the resulting raster or vector products with the rich functionality of ERDAS IMAGINE. This release instantly augments the existing image analysis tools of ERDAS IMAGINE 2014 with the widely-popular point processing capabilities of LAStools.
![erdas imagine 2014 image radiometric calibration erdas imagine 2014 image radiometric calibration](https://asf.alaska.edu/wp-content/uploads/2019/05/synthetic-aperture-radar-sar-before-and-after-gamma-radiometric-terrain-correction-400x180-2000x1125.png)
This new ERDAS IMAGINE 2014 toolbox is included in the latest version of the LAStools distribution. The tools have been fully integrated into the software so that they are also available as operators within the IMAGINE Spatial Modeler framework. The latest release of LAStools from rapidlasso GmbH contains a new toolbox for ERDAS IMAGINE ®2014, allowing the users of Hexagon Geospatial’s powerful remote sensing software to utilize the popular rapidlasso LiDAR processing modules.