Remote Sensing Image Processing Software

eCognition Suite

Trimble eCognition Suite is an advanced image analysis software available for geospatial applications. It is designed to improve, accelerate, and automate the interpretation of a variety of geospatial data and enables users to design feature extraction or change detection solutions to transform geospatial data into geo-information.

Trimble, Inc.

Westminster, US

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Description

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Specifications

Application: Main users

data providers (Woolpert; Blom; 3001; Photoscience etc.) Government Agencies (USDA; USFS; Ordnance Survey etc) research (NASA; JPL; Universities worldwide)

Main applications

forestry; urban planning; water management; environmental monitoring; Security&Defense

Distinguishable features

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.

General: Year of introduction

2000

Year of last update

2018

Supported hardware

Intel x86_64 hardware platforms (64 bit)

User definable operations and extensions

Cognition Network Language & SDK

Other input data supported

GIS vectors (SHP & FileGDB), Point Clouds (LAS)

Object-based classification: Line extraction

skeletons; object resizing / surface tension

Region growing segmentation

Y

Multiresolution image segmentation

Y

Multiscale approach

Y

Generalisation

squaring of buildings; smoothing of contours; removing of clutter

Editing: Manual removal and addition of points; lines; polygons

Y

Addition of text and symbols

Y

Overlay with map data

Y

Classification in general: Ancillary data integration

Y

Sub-pixel classification

N

Training sample selection

Y

Accuracy assessment

Y

Radiometric and image processing: Radiometric corrections

normalisation adjustment; flexible channel arithmetics

Spatial convolutions

extensive pixel filtering algorithms

Image transforms

Y

Morphological operations

binary; grayscale; opening; closing; skeletonising; user definable structural elements

Filtering of radar imagery

Y

Pixel-based classification: Unsupervised classification

Y

Supervised classification

Y

Vegetation index

Y

Principal component analysis

N

Geometric processing: Correction models

N

Transformations

N

Cartographic projections

N

Ortho-image generation using DEM

N

Resampling

Y

Geometric accuracy assessment

N