Add to ORKGMethods of image segmentation become more and more important in the field of remote sensing image analysis – in particular due to the increasing spatial resolution of imagery. The most important factor for using segmentation techniques is segmentation quality. Thus, a method for evaluating segmentation quality is presented and used to compare results of presently available segmentation programs. Firstly, an overview of the software used is given. Moreover the quality of the individual segmentation results is evaluated based on pan-sharpened multi-spectral IKONOS data. This is done by visual comparison, which is supplemented by a detailed investigation using visual interpreted reference areas. Geometrical segment properties are in the focus ...
Pan-sharpening of remote sensing multispectral imagery directly influences the accuracy of interpret...
Visual review and comparison based on reference areas (correspondence and shape conformity) were emp...
Image segmentation is the most practical approach among all virtually automated image recognition sy...
Methods of image segmentation become more and more important in the field of remote sensing image an...
Primarily due to the progresses in spatial resolution of satellite imagery, the methods of segment-b...
The segmentation of a high spatial resolution remote sensing image is a critical step in geographic ...
Different algorithms exist for the segmentation of remote sensing images. We compare their performan...
Quality of segmentation depends on evaluation method we use. In case of specific images we use speci...
The initial step in most object-based classification methodologies is the application of a segmentat...
Geographic object-based image analysis (GEOBIA) is a promising methodology lot image analysis, in wh...
A methodology for evaluating range image segmentation algorithms is proposed. This methodology invol...
A general introduction to image segmentation is provided, including a detailed description of common...
There are many studies related to Imagery Segmentation (IS) in the field of Geographic Information (...
Segmentation algorithms applied to remote sensing data provide valuable information about the size, ...
This letter presents the capabilities of a command line tool created to assess the quality of segmen...
Pan-sharpening of remote sensing multispectral imagery directly influences the accuracy of interpret...
Visual review and comparison based on reference areas (correspondence and shape conformity) were emp...
Image segmentation is the most practical approach among all virtually automated image recognition sy...
Methods of image segmentation become more and more important in the field of remote sensing image an...
Primarily due to the progresses in spatial resolution of satellite imagery, the methods of segment-b...
The segmentation of a high spatial resolution remote sensing image is a critical step in geographic ...
Different algorithms exist for the segmentation of remote sensing images. We compare their performan...
Quality of segmentation depends on evaluation method we use. In case of specific images we use speci...
The initial step in most object-based classification methodologies is the application of a segmentat...
Geographic object-based image analysis (GEOBIA) is a promising methodology lot image analysis, in wh...
A methodology for evaluating range image segmentation algorithms is proposed. This methodology invol...
A general introduction to image segmentation is provided, including a detailed description of common...
There are many studies related to Imagery Segmentation (IS) in the field of Geographic Information (...
Segmentation algorithms applied to remote sensing data provide valuable information about the size, ...
This letter presents the capabilities of a command line tool created to assess the quality of segmen...
Pan-sharpening of remote sensing multispectral imagery directly influences the accuracy of interpret...
Visual review and comparison based on reference areas (correspondence and shape conformity) were emp...
Image segmentation is the most practical approach among all virtually automated image recognition sy...