A method for Road detection from high resolution Color Remote Sensing Image
Journal Title: Remote Sensing - Year 2014, Vol 3, Issue 1
Abstract
In this paper, a road extracting to proposed by combining FLD feature extraction and shape feature. This method has four main steps. Firstly, the color information of labeled the samples is extracted. Then, Fisher linear discriminant is used to implement feature classification to segment the images into two Categories:ro AD and Non-road, according to the information extracted before. After that, the initial road network is extracted by threshold segmentation to the result of according. Finally, the Road shape optimization features and morphological processing are used to remove erroneous extraction and op Timize the extraction results. Experiment results show this proposed method can realize the main road extraction from the remote sensing image with C Olor information.
Authors and Affiliations
Song na , Xie minghong, Gao chunxia
Keywords
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