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Are you considering working with an UAV for surveying?


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Productsurvey > Remote Sensing Image Processing Software, June 2010 > Idrisi

Idrisi

  24/05/2012
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Brand Idrisi
Package Name Taiga
Date of Introduction 1987
Date of last update system and data 2009
- supported special hardware [1] GPS units
- user definable operations and extensions [2] scripts, macros, graphical programming, etc.
- supported image types [3] all listed under [3]
- other input data supported [4] all listed under [4]
- maximum number of bands 64
- ancillary data integration (Y (methods [5]) / N) Y (a priori probability)
- sub pixel classification (Y (methods [6]) / N) Y (linear spectral unmixing)
- training sample selection (Y (methods [7]) / N) Y (individual pixels, polygon, masks)
- accuracy assessment (Y (methods [8]) / N) Y (error matrix, kappa-coefficient)
- unsupervised classification (Y (methods [9]) / N) Y (cluster, isodata, K means, unsupervised hyperspectral classifier
- supervised classification (Y (methods [10]) / N) Y (all listed under [10] + [a])
- vegetation index (Y/N) Y
- principal component analysis (Y/N) Y
- line (e.g. road) extraction (Y (methods [11]) / N) N
- region growing segmentation (Y/N) Y (watershed based)
- multiresolution image segmentation (Y/N) N
- multiscale approach (Y/N) Y
- generalisation (Y (methods [12]) / N) N
- transformations (Y (methods [14]) / N) project, local affine
- cartographic projections (Y (methods [15]) / N) UTM, LATLONG, State Plane, etc…
- ortho-image generation using DEM (Y/N) N
- radiometric corrections (Y (methods [18]) / N) Y (destripe, dn to radiance, atmospheric correction)
- spatial convolutions (Y (methods [19]) / N) Y (smoothing, pansharpening, user definable filters (max. kernel size: 255 x 255))
- image transforms (Y (methods [20]) / N) Y ([i])
- morphological operations (Y (methods [21]) / N) N
- filtering of radar-imagery (Y (methods [22]) / N) Y (Fourier, PCA)
- manual removal / addition of points, lines, polygons (Y/N) Y
- addition of text and symbols (Y/N) Y
- overlay with map data (Y/N) Y
- training facilities (Y (list duration) /N) Y
- main users (max. 5) REDD modelers, Earth systems modelers, remote sensing experts, ecologists, and environmental modelers
- main applications (max. 5) REDD carbon offset, time series analysis, ecological modeling, landuse change
- distinguishable features (max. 20 words) [23] integration of sofisticated raster analysis with robust remote sensing capabilities



     


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