As the world changes more rapidly, the demand for update information for resource management, environment monitoring, planning are increasing exponentially. Integration of Remote Sensing with GIS technology will significantly promote the ability for addressing these concerns. This paper presents an alternative way of update GIS applications using image processing and high resolution images. We show a method of high-resolution image segmentation using graphs and morphological operations, where a preprocessing step (watershed operation) is required. A morphological process is then applied using the opening and closing operations. After this segmentation we can extract significant cartographic elements such as urban areas, streets or green are...
High-resolution multispectral remote sensing image provides both spectral and structural information...
This CAREER project will advance the ability to extract spatial information from digital aerial imag...
This paper presents a hierarchical image segmentation method that combines multichannel watershed tr...
Nowadays Geographic Information Systems (GIS) uses Remote Sensing (RS) data for a lot of application...
International audienceAt the present time, the remote sensing community will have to deal with new d...
This paper focuses on segmenting road areas in aerial images. The anticipated outcomes from segmenta...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...
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...
The paper addresses the use of high resolution satellite imagery for map updating at technical scale...
Segmentation is one of the first steps in the field of image analyzing and image understanding. It i...
Abstract: Land consolidation is a tool for increasing the area of the arable land and improving the ...
A hybrid image segmentation algorithm is proposed which combines edge- and region-based techniques t...
Recently, new approaches with commercial high-resolution satellite imagery in the engineering applic...
High-resolution multispectral remote sensing image provides both spectral and structural information...
This CAREER project will advance the ability to extract spatial information from digital aerial imag...
This paper presents a hierarchical image segmentation method that combines multichannel watershed tr...
Nowadays Geographic Information Systems (GIS) uses Remote Sensing (RS) data for a lot of application...
International audienceAt the present time, the remote sensing community will have to deal with new d...
This paper focuses on segmenting road areas in aerial images. The anticipated outcomes from segmenta...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...
The goal of this research is to develop an algorithm that accurately segments high-resolution images...
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...
The paper addresses the use of high resolution satellite imagery for map updating at technical scale...
Segmentation is one of the first steps in the field of image analyzing and image understanding. It i...
Abstract: Land consolidation is a tool for increasing the area of the arable land and improving the ...
A hybrid image segmentation algorithm is proposed which combines edge- and region-based techniques t...
Recently, new approaches with commercial high-resolution satellite imagery in the engineering applic...
High-resolution multispectral remote sensing image provides both spectral and structural information...
This CAREER project will advance the ability to extract spatial information from digital aerial imag...
This paper presents a hierarchical image segmentation method that combines multichannel watershed tr...