Add to ORKGAfter briefly summarizing current methods of road extraction, the method of fractal difference is used to extract the road from IKONOS remote sensing image, which can overcome the shortcoming of traditional difference method. With the results of computer simulation, the fractal difference method has been proved effective in this paper.Geosciences, MultidisciplinaryRemote SensingCPCI-S(ISTP)
Digital maps of road networks are a vital part of digital cities and intelligent transportation. In ...
In this paper, We propose strategies for road extraction fro in high-resolution satellite images, wh...
To solve some problems of high spatial resolution remote sensing images caused by land coverage, bui...
After briefly summarizing current methods of road extraction, the method of fractal difference is us...
The study focuses on the solution to automatically distinguish road elements from river in high reso...
The study focuses on the solution to automatically distinguish road elements from river in high reso...
In this paper, the methods of fractal dimension and wavelet are applied simultaneously in the remote...
In this paper, the methods of fractal dimension and wavelet are applied simultaneously in the remote...
Road extraction from high-resolution remote sensing image is an important and difficult task.Since r...
As a significant role for traffic management, city planning, road monitoring, GPS navigation and map...
Road is a kind of very typical artificial object. Road extraction from multi-scale remote sensing im...
AbstractAs a significant role for traffic management, city planning, road monitoring, GPS navigation...
In the paper, we present an approach of multi-resolution analysis to extract road information from h...
Abstract: Automatic road extraction from the high resolution remote sensing images is of great impor...
Aiming at solving inaccurate and incomplete extraction of road in remote sensing images, this paper ...
Digital maps of road networks are a vital part of digital cities and intelligent transportation. In ...
In this paper, We propose strategies for road extraction fro in high-resolution satellite images, wh...
To solve some problems of high spatial resolution remote sensing images caused by land coverage, bui...
After briefly summarizing current methods of road extraction, the method of fractal difference is us...
The study focuses on the solution to automatically distinguish road elements from river in high reso...
The study focuses on the solution to automatically distinguish road elements from river in high reso...
In this paper, the methods of fractal dimension and wavelet are applied simultaneously in the remote...
In this paper, the methods of fractal dimension and wavelet are applied simultaneously in the remote...
Road extraction from high-resolution remote sensing image is an important and difficult task.Since r...
As a significant role for traffic management, city planning, road monitoring, GPS navigation and map...
Road is a kind of very typical artificial object. Road extraction from multi-scale remote sensing im...
AbstractAs a significant role for traffic management, city planning, road monitoring, GPS navigation...
In the paper, we present an approach of multi-resolution analysis to extract road information from h...
Abstract: Automatic road extraction from the high resolution remote sensing images is of great impor...
Aiming at solving inaccurate and incomplete extraction of road in remote sensing images, this paper ...
Digital maps of road networks are a vital part of digital cities and intelligent transportation. In ...
In this paper, We propose strategies for road extraction fro in high-resolution satellite images, wh...
To solve some problems of high spatial resolution remote sensing images caused by land coverage, bui...