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OBJECT RECOGNITION AND FEATURE EXTRACTION FROM IMAGERY:THE FEATURE ANALYST® APPROACH
Feature Analyst Automated Feature Extraction Machine Learning Geospatial Feature
2015/8/19
Feature Analyst is a commercial feature extraction software system that leverages multiple object recognition attributes,using semi-automated to automated workflows, to accelerate the collection of fe...
OBJECT RECOGNITION BASED ON TEMPLATE CORRELATION IN REMOTE SENSING IMAGE
Correlation Matching Extraction
2015/6/1
In recent years, the spatial resolution of remote sensing image becomes much more higher then ten years ago. There are more
information reflected by modern remote sensing image. The research of imag...
THE DESIGN AND IMPLEMENTATION OF A NOVELL OBJECT RECOGNITION METHOD BASED ON INFORMATION FUSION AND ARTIFICIAL INTELLIGENT I CONCEPT
THE DESIGN AND IMPLEMENTATION A NOVELL OBJECT RECOGNITION METHOD INFORMATION FUSION ARTIFICIAL INTELLIGENT
2015/3/16
THE DESIGN AND IMPLEMENTATION OF A NOVELL OBJECT RECOGNITION METHOD BASED ON INFORMATION FUSION AND ARTIFICIAL INTELLIGENT I CONCEPT.
DEVELOPMENT OF A METHOD NETWORK FOR OBJECT RECOGNITION USING DIGITAL SURFACE MODELS
DEVELOPMENT OF A METHOD NETWORK OBJECT RECOGNITION DIGITAL SURFACE MODELS
2015/3/16
DEVELOPMENT OF A METHOD NETWORK FOR OBJECT RECOGNITION USING DIGITAL SURFACE MODELS.
AUTOMATED EXTRACTION OF FEATURES FROM CAD MODELS FOR 3D OBJECT RECOGNITION
Object recognition CAD Modeling Feature extraction
2015/1/7
In this paper we report on our work on a CAD model-based object recognition system for industrial parts. We present a novel approach which uses information derived from the CAD model in the early proc...
A NEW APPROACH TO OBJECT RECOGNITION ON HIGH RESOLUTION SATELLITE IMAGE
Pattern Recognition Satellite Image Feature Extraction
2014/12/31
The data of satellite remote sensing can provide the object information of the earth’s surface accurately. Now the commercial satellites can provide the satellite images with the resolution between 1 ...
EARLY STAGE OBJECT RECOGNITION USING NEURAL NETWORKS
Object recognition Neural Networks Wavelets Support vector machines
2014/12/31
Object recognition has been the focus of much research in the photogrammetric and image processing communities. The goal of this research is often the quantitative three-dimensional measurement of obj...
Graph – Based High Resolution Satellite Image Segmentation for Object Recognition
High Resolution segmentation classification graph computer vision Mahalanobis
2014/12/16
Object based image processing and analysis is challenging research in very high resolution satellite utilisation. Commonly ei ther pixel based classification or visual interpretation is used to recogn...
GROUND OBJECT RECOGNITION USING COMBINED HIGH RESOLUTION AIRBORNE IMAGES AND DSM
Ground Object Recognition High Resolution LiDAR DSM Sparse Representation L1 Minimization
2014/4/29
The research is carried on dataset Vaihingen acquired from ISPRS Test Project on Urban Classification and 3D Building Reconstruction. Four different types of ground objects are extracted: buildings, t...
The market for real-time 3-D mapping includes not only traditional geospatial applications but also navigation of unmanned
autonomous vehicles (UAVs). Massively parallel processes such as graphics p...
AUTOMATIC OBJECT RECOGNITION AND CHANGE DETECTION OF URBAN TREES
remote sensing change detection updating segmentation 3D object oriented urban trees database
2014/6/12
Monitoring of tree objects is relevant in many current policy issues and relate to the quality of the public space, municipal urban green management, management fees for gree...