Extraction of Road Junction Islands from High Resolution Aerial Imagery Using Level Sets
نویسنده
چکیده
Road junctions are important components of a road network. However, they are usually not explicitly modelled in existing road extraction approaches. In this paper, we consider road junctions as area objects with possible existence of islands in their central area and propose a level set approach for the automatic extraction of islands. A region-based method is employed to initialize the level set function. The junction outline is provided to focus the attention on a specific area and some constraints are introduced to distinguish islands from other features such as cars. The approach was tested using aerial images of 0.1 m ground resolution taken from suburban and rural areas. Test results are presented and discussed in this paper.
منابع مشابه
Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملIntegration of Deep Learning Algorithms and Bilateral Filters with the Purpose of Building Extraction from Mono Optical Aerial Imagery
The problem of extracting the building from mono optical aerial imagery with high spatial resolution is always considered as an important challenge to prepare the maps. The goal of the current research is to take advantage of the semantic segmentation of mono optical aerial imagery to extract the building which is realized based on the combination of deep convolutional neural networks (DCNN) an...
متن کاملAutomated Road Network Extraction from High Resolution Multi-spectral Imagery
In this paper, a new approach to road network extraction from multi-spectral (MS) imagery is presented. The proposed approach begins with an image segmentation using a spectral clustering algorithm. This step focuses on the exploitation of the spectral information for feature extraction. The road cluster(s) is automatically identified using a fuzzy classifier based on a set of predefined member...
متن کاملAutomatic road extraction based on cross detection in suburb
Importance for acquiring geographic map data and updating existing data is increasing. The automation of road extraction from aerial imagery has received attention. In the past, many approaches have been considered, however the existing automatic road extraction methods still need too much post editing. In this paper, we propose the method of automatic road extraction from high-resolution color...
متن کاملAutomatic Road Extraction from Multispectral High Resolution Satellite Images
In this paper we propose an approach for automatic road extraction from high resolution multispectral imagery, such as IKONOS or Quickbird, in rural areas. While aerial imagery usually consists of 3 spectral bands, high resolution satellite data comprises 4 spectral bands with a better radiometric quality compared to film, but a worse geometric resolution. Therefore, strongly making use of the ...
متن کامل