This CAREER project will advance the ability to extract spatial information from digital aerial imagery for which prior or complementary information already exists. Examples of such information are pre-existing digital maps, digital terrain models, and spatial information systems in general. We use geospatial databases to support and guide digital image analysis methods for object extraction. The work will accomplish both research and educational objectives. The research program develops novel concepts and algorithms for the extraction of information from digital images. Emphasis is put on matching images to abstract representations of reality, change detection, analysis of scale differences between various images and images and databases, ...
The purpose of this research is to enhance the efficiency of the task of extracting elevation data f...
Photogrammetry and remote sensing have proven their efficiency for spatial data collection in many w...
In the last decade, the use of Machine Learning in aerial imagery data processing has multiplied. Th...
This project aims at the advancement of the ability to extract spatial information from digital aeri...
In this paper we discuss the use of map descriptions to guide the extraction of man-made and natural...
In this paper we discuss the use of map descriptions to guide the extraction of man-made and natural...
2018-07-09With the recent abundance and democratization of high-quality, low-cost satellite imagery ...
Constructing geospatial databases is a tedious manual operation. Automatic 3-D feature extraction fr...
Maps depict natural and human-induced changes on earth at a fine resolution for large areas and over...
The book includes a preface and four articles which deal with the automatic georeferencing of aeria...
Conventional image classification approaches may be inadequate for extraction of complex and spectra...
This paper describes the development of a prototype information system aimed at supporting represent...
The paper discusses the photogrammetric methods and process of creating geodata for aeronautical inf...
The integration of airborne imagery, derived from video and digital camera imagery, with terrain dat...
Very high resolution satellite and aerial images provide valuable information to researchers. With t...
The purpose of this research is to enhance the efficiency of the task of extracting elevation data f...
Photogrammetry and remote sensing have proven their efficiency for spatial data collection in many w...
In the last decade, the use of Machine Learning in aerial imagery data processing has multiplied. Th...
This project aims at the advancement of the ability to extract spatial information from digital aeri...
In this paper we discuss the use of map descriptions to guide the extraction of man-made and natural...
In this paper we discuss the use of map descriptions to guide the extraction of man-made and natural...
2018-07-09With the recent abundance and democratization of high-quality, low-cost satellite imagery ...
Constructing geospatial databases is a tedious manual operation. Automatic 3-D feature extraction fr...
Maps depict natural and human-induced changes on earth at a fine resolution for large areas and over...
The book includes a preface and four articles which deal with the automatic georeferencing of aeria...
Conventional image classification approaches may be inadequate for extraction of complex and spectra...
This paper describes the development of a prototype information system aimed at supporting represent...
The paper discusses the photogrammetric methods and process of creating geodata for aeronautical inf...
The integration of airborne imagery, derived from video and digital camera imagery, with terrain dat...
Very high resolution satellite and aerial images provide valuable information to researchers. With t...
The purpose of this research is to enhance the efficiency of the task of extracting elevation data f...
Photogrammetry and remote sensing have proven their efficiency for spatial data collection in many w...
In the last decade, the use of Machine Learning in aerial imagery data processing has multiplied. Th...