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Publication Information

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Title: GuidosToolbox: universal digital image object analysis

Author: Vogt, Peter; Riitters, Kurt;

Date: 2017

Source: European Journal of Remote Sensing

Publication Series: Scientific Journal (JRNL)

Description: The increased availability of mapped environmental data calls for better tools to analyze the spatial characteristics and information contained in those maps. Publicly available, userfriendly and universal tools are needed to foster the interdisciplinary development and application of methodologies for the extraction of image object information properties contained in digital raster maps. That is the overarching goal of GuidosToolbox, which is a set of customized, thematically grouped raster image analysis methodologies provided in a graphical user interface and for all popular operating systems. The Toolbox contains a wide selection of dedicated algorithms and tools, which are complemented by batch-processing and pre- and post-processing routines, all designed to objectively describe and quantify various spatial properties of image objects in digital raster data. While first developed for the analysis of remote sensing data in environmental applications, the Toolbox now provides a generic framework that is applicable to image analysis at any scale and for any kind of digital raster data.

Keywords: Image processing, morphological analysis, segmentation, mapping, landscape ecology, forestry

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

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Citation:


Vogt, Peter; Riitters, Kurt 2017.GuidosToolbox: universal digital image object analysis. European Journal of Remote Sensing. 50(1): 352-361 p https://doi.org/10.1080/22797254.2017.1330650.

 


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