| Brand |
Definiens |
| Package Name |
eCognition |
| Date of Introduction |
2000 |
| Date of last update system and data |
November 2009 |
| - user definable operations and extensions [2] |
SDK (engine api, automation api, data I/O api) |
| - supported image types [3] |
all listed under [3] |
| - other input data supported [4] |
vector, point clouds (*.las) |
| - maximum number of bands |
no limit |
| - ancillary data integration (Y (methods [5]) / N) |
Y |
| - sub pixel classification (Y (methods [6]) / N) |
N |
| - training sample selection (Y (methods [7]) / N) |
Y |
| - accuracy assessment (Y (methods [8]) / N) |
Y |
| - unsupervised classification (Y (methods [9]) / N) |
Y |
| - supervised classification (Y (methods [10]) / N) |
Y |
| - vegetation index (Y/N) |
Y |
| - principal component analysis (Y/N) |
N |
| - line (e.g. road) extraction (Y (methods [11]) / N) |
Y (skeletons, object resizing / surface tension) |
| - region growing segmentation (Y/N) |
Y |
| - multiresolution image segmentation (Y/N) |
Y |
| - multiscale approach (Y/N) |
Y |
| - generalisation (Y (methods [12]) / N) |
Y (squaring of buildings, smoothing of contours, removing of clutter) |
| - correction models (Y (methods [13]) / N) |
N |
| - transformations (Y (methods [14]) / N) |
N |
| - cartographic projections (Y (methods [15]) / N) |
N |
| - ortho-image generation using DEM (Y/N) |
N |
| - resampling (Y (methods [16]) / N) |
Y (nearest neighbor) |
| - geometric accuracy assessment (Y (methods [17]) / N) |
N |
| - radiometric corrections (Y (methods [18]) / N) |
Y (normalisation adjustment, flexible channel arithmetics) |
| - spatial convolutions (Y (methods [19]) / N) |
Y (extensive pixel filtering algorithms) |
| - image transforms (Y (methods [20]) / N) |
Y (extensive pixel filtering algorithms) |
| - morphological operations (Y (methods [21]) / N) |
Y (binary, grayscale, opening, closing, skeletonising, user definable structural elements) |
| - filtering of radar-imagery (Y (methods [22]) / N) |
N |
| - manual removal / addition of points, lines, polygons (Y/N) |
Y |
| - addition of text and symbols (Y/N) |
Y |
| - overlay with map data (Y/N) |
N |
| - training facilities (Y (list duration) /N) |
Y (3-5 days / customizable) |
| - main users (max. 5) |
data providers (Woolpert, Blom, 3001, Photoscience etc.) Government Agencies (USDA, USFS, Ordnance Survey etc) research (NASA, JPL, Universities worldwide) |
| - main applications (max. 5) |
forestry, urban planning, water management, environmental monitoring, Security&Defense |
| - distinguishable features (max. 20 words) [23] |
object-based image analysis leveraging context, scale, shape, colour and texture; works on raster, vector and point-clouds; client-server architecture optimized for large-scale production. |
