ScanEx - Satellite Images Thematic Processing

• Intel Pentium IV or higher
• 512 MB RAM
• 40 GB hard disc free space
• 1024x768 True Color monitor
• ATI Radeon or Nvidia GeForce video card
• MS Windows 2000/XP or higher

Raster data batch processing

• Possibility to do batch processing with systematic geometric correction, data re-projection, re-formatting, etc.

Raster importing/exporting

• Import of more than 20 graphic formats, including the conventional ones used by the remote sensing programs, as well as possibility to load RAW images
• DEM import in Surfer GRID, ARCINFO ASCII GRID, USGS DEM formats
• Import/export of the images with the value range from 8 to 64 bit per pixel
• Export to popular graphical and conventional formats, with the possibility of saving accompanying geo-reference files (ESRI World File and MapInfo TAB File)
• Possibility of converting the brightness band into the indicated dynamic band, saving coefficients for the reverse conversion
• Export of images, saving adjusted color, gamma correction and contrast parameters
• Saving “user’s projection”
• Quick data loading without pyramid layers computation

Raster visualization

• RGB and Grey presentation possibilities
• Presentation in form of uninterrupted gradient palette, including palette generation, edition and re-use assets
• Presentation in index colors, including creation, edition and comments introduction assets for each color legend category
• Image automatic and manual contrasting, gamma correction and color balance correction
• Display of more than 20 RGB layers in one view window
• Select re-sampling filter for displaying
• Navigation window display capability
• Raster layers transparency feature
• Raster layer display within a vector mask
• Saving display parameters in external file

Raster geometric correction

• Systematic correction, without additional assets, for the following types of data (EROS-A0, RADARSAT-1, IRS-1C\1D, IRS-P5\P6, SPOT-2\4, Meteor-3М, TERRA-ASTER, TERRA\AQUA-MODIS, NOAA satellites, Resource satellites : MSU-E\MSU-SK)
• Satellite model and positioning verification
• Registration of none geo-referenced images
• Ortho-transformation of images using GCP, with due account of territory heights
• Classic polynomial transformations up to 5th power
• Rational polynomial transformations up to 5th power
• Simple polynomial transformations up to 5th power
• Using a model of different data models for matrix of vertices in polynomial transformations during image orthorectification
• GCP setting in manual mode, in raster to vector layer and raster to raster modes
• Transformation model accuracy estimation
• Images local errors correction
• Automatic co-registration of images
• Data reprojection from different coordinates systems into the specified one
• Support of over 26 types of map projections, of more than 60 coordinates systems and over 50 reference-ellipsoids
• Strict models added for SPOT-2,4,5, RESOURCESAT (IRS-P6), CARTOSAT-1, EROS-B, FORMOSAT-2 satellites data
• Verification of RPC-model based on ground control points for GeoOrthoKit and QuickBird formats
• Using a model of different data models for matrix of vertices in polynomial transformations during image orthorectification
• Vector layer geometric correction using control points
• Operations with control points in any coordinate system
• Support of connecting points

Image filtration

• Median filters
• Convolution filters
• Edge Detection
• Smooth filters
• Speckle Noise filtering
• Morphological operations
• Texture features calculation
• Noise removal
• Values interpolation

Images radiometric processing

• Radiometric correction of TERRA-ASTER and IRS-1C\1D data
• Image histogram matching
• Image contrast alignment
• Histogram stretch

Spectral enhancement

• Brightness re-calculation in Radiance\Reflectance
• PCA direct and reverse transformation
• RGB and HIS planes direct and reverse transformation
• Linear and non-parametric regression calculation
• False color to natural color transformation, panchromatic channel fusion

Raster images classification

• Unsupervised ISODATA classification Algorithm with the option to use vector masks as region borders for teaching
• Supervised classification algorithm based on forward-propagation neural network
• Possibility to do raster sampling saving the results into the vector layer’s table of attributes

Neural network classification and GTM algorithm

• Using pixel and object data for image classification
• Activation of enhanced neural network algorithm of thematic classification and interpretation and its usage in GTM algorithm
• Operations with intuitive structure of classes of spatial objects, based on Sammon’s mapping
• Possibility to do neural network learning within model sampling
• Different post-processing algorithms (generalization, sampling, Markov fields, etc.)
• Operations with hierarchy structure of spatial data
• Creation of hierarchy structure of interpretation results storage

Object-oriented classification and thematic interpretation of multispectral imagery

• Possibility to take into account objects geometry during segmentation
• Interactive thematic classification with teacher for segmentation results
• Segmentation results classification using discriminant analysis

User image processing algorithms

• Possibility to write own processing algorithms using over 40 in-built functions and operators
• Capability to save macros for repeated use
• Setting macros, created by the users, in form of program dialogs called out from the main menu

Interactive color-balanced mosaicking

• Automatic and manual contrasting
• Possibility of non-linear color balancing
• Capability to use all image or image fragment within a vector mask
• Possibility to use seamlessly mosaicked images
• Creation of mosaics for large territories

Spatial resolution enhancement

• PCA+Wavelet algorithm, enabling to get better results from the new generation data (Landsat-7, Ikonos, QuickBird) unlike traditional methods
• Traditional algorithms (PCA transformation, HIS transformation, arithmetic transformations – Brovey Transform and Multiplicative)

Change Detection algorithms

• Traditional algorithms – "subtraction" and "division"
• PCA algorithm

Atmospheric correction

• Multispectral images haze compensation

Working with image fragment

• Image processing within the vector area and the preset rectangular area
• Possibility to set working area extent
• Segmentation of images by preset sizes

MODIS data thematic products

• Fire detection
• Clouds detection
• Snow and ice cover detection
• Land surface temperature calculation
• NDVI and EVI calculation
• Possibility to set threshold values during calculation

Vector layers editing

• Support of vector data in ESRI SHP and Mapinfo MIF formats
• Support of different vector layers display styles
• Generation of new vector layers
• Vector editing (arcs and joints editing, morphological operations with polygonal objects)
• Attributive information editing
• Reprojection into preset coordinates system
• Automatic vectorization within the specified brightness value and range
• Vector rasterization

Terrain analysis

• Possibility of package loading, correction and reprojection of SRTM and GTOPO30 data from the indicated source, initial data can be stored in archive mode
• Hydrologically correct DEM generation module from vector
• DEM generation from stereo images
• Terrain derivatives computation
• Vertical and horizontal gradient
• Evans terrain classification

Thematic processing of radar images

• Radar images segmentation using specific algorithms
• Possibility to account for images texture properties
• Results thematic calibration using references
• Generation of thematic raster maps
• Automatic vectorization
• Oil spills detection
• Possibility to get statistic probability of assessing the pixel as a oil spill
• Possibility of automatic vectorization of processed data
• Ship detection
• Possibility to consider objects geometry during segmentation
• Interactive thematic classification with teacher for segmentation results
• Segmentation results classification using discriminant analysis
• Radar images filtering

Thematic processing of multispectral images

• Multispectral images segmentation using specific algorithms
• Possibility to account for images texture properties
• Results thematic calibration using references
• Generation of thematic raster maps
• Automatic vectorization
• Creation of hierarchy structure of interpretation results storage

Solar radiation balance calculation

• Capability to calculate short-wave radiation
• Capability to calculate long-wave radiation
• Capability to calculate air and surface temperatures
• Short-wave radiation calculation

Hydrological modeling

• Possibility to model hydrograph
• Flooding modeling
• Freshets and overflows modeling
• Acquisition of water distribution model on the specified date
• Visual assessment possibility

3D modeling and visualization

• 3D landscape modeling
• Modeling in different details
• Real-time display of generated 3D landscape models
• Vector layers draping
• Additional raster thematic layers draping
• Cloudiness, fogs, mists, smoke modeling
• Water surface modeling
• Trees modeling
• 3D models importing in 3D Studio MAX formats
• Video-clips recording possibility
• Possibility to quickly create standard 3D objects based on vector map outlined objects using textures
• Creation of “road’ objects using oriented textures and vector layers
• Interactive editing of created 3D objects
• Enhanced toolkit for navigation and control

Building 3D Earth model

• Generation of global 3D model of the Earth
• Vector layers overlay on 3D Earth model. Toponymic search
• Satellite tracks display using NORAD data
• Modeling of Earth and other solar system planets rotation, as well as of Earth insolation and atmosphere
• Possibility to switch from global model to local 3D raster models
• Video clips recording

SDK

• Possibility to work with the image as with matrix
• Use of over 40 standard mathematic functions, operators and filters
• Stereo processing possibility
• Radiometric correction
• Scripts creation possibilities
• Possibility to create user interface (GUI) for scripts, with access to the created scripts via main program menu

Layout

• Mock-up control assets (paper size, dpi)
• Grade and metric grid drawing possibility
• Use of legends for thematic raster presentations
• Prepared mock-up export in TIFF format for further printing in other programs