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Trivial opening is used for road extraction [30-32 [30-32
A feature fusion-based method for road extraction is proposed by Zhijian et al. [4].
Open image in new window Fig. 3 Examples for road extraction (clipping from nadir images).
Rohit et al. proposed a method for road extraction using morphological and K-means clustering [25].
Firstly, the road features, road model, existing difficulties and interference factors for road extraction were analyzed.
For each pixel, they construct a morphological profile using path opening and path closing morphological operations which is used for road extraction and author used pixel-based approach for road extraction.
Similar(48)
As a significant role for traffic management, city planning, road monitoring, GPS navigation and map updating, the technology of road extraction from a remote sensing (RS) image has been a hot research topic in recent years.
We propose an approach of elongated region-based analysis for 2D road extraction from high-resolution imagery, which is suitable for MSI, and is insensitive to conventional edge definition.
Jiuxiang et al. presented a method for automatic road extraction which includes three steps: road seed pixel is identified and then road tracking and growing of road segment.
Very high spatial resolution (VHR) imagery acquired by airborne and space borne sensors is the main source for accurate road extraction.
We have developed and implemented a system for automatic road extraction and describe it in special detail with a case study.
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