Description
Specifications
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Application
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Main users
Image Scientists, Cartographers, Image Analysts, Geospatial Analysts, Students
Main applications
Land Cover / Land Use Classification, Image Search, Feature Detection / Extraction / Signature Analysis, Preprocessing for Object Detection
Distinguishable features
Easy to use tool that uses techniques from statistical machine learning and evolutionary computation theory to perform robust and customized automatic feature extraction in multispectral, hyperspectral, panchromatic, and multi-instrument imagery. http://geniepro.observera.com
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General
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Year of introduction
2008
Year of last update
2012
Supported hardware
Mac OS X; Windows;
User definable operations and extensions
Y
Other input data supported
Most imaging formats; NITF, TIFF, JPEG
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Object-based classification
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Line extraction
Y
Region growing segmentation
Y
Multiresolution image segmentation
Y
Multiscale approach
Y
Generalisation
Y
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Editing
-
Manual removal and addition of points; lines; polygons
Y
Addition of text and symbols
N
Overlay with map data
N
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Classification in general
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Max. number of bands
50000
Ancillary data integration
Y
Sub-pixel classification
N
Training sample selection
Y
Accuracy assessment
Y
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Radiometric and image processing
-
Radiometric corrections
Y
Spatial convolutions
Y
Image transforms
Y
Morphological operations
Y
Filtering of radar imagery
Y
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Pixel-based classification
-
Unsupervised classification
N
Supervised classification
Y
Vegetation index
Y
Principal component analysis
N
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Geometric processing
-
Correction models
N
Transformations
N
Cartographic projections
N
Ortho-image generation using DEM
N
Resampling
N
Geometric accuracy assessment
N
