Rural Road Extraction from High-Resolution Remote Sensing Images Based on Geometric Feature Inference
نویسندگان
چکیده
منابع مشابه
Rural Road Extraction from High-Resolution Remote Sensing Images Based on Geometric Feature Inference
Road information as a type of basic geographic information is very important for services such as city planning and traffic navigation, as such there is an urgent need for updating road information in a timely manner. Scholars have proposed various methods of extracting roads from remote sensing images, but most of them are not applicable to rural roads with diverse materials, large curvature c...
متن کاملRoad Extraction from High Resolution Remote Sensing Images based on Multi-features and Multi-stages
Road extraction from high resolution remote sensing imagery is very important for many applications such as GIS data updating, transportation management and city planning. In this paper we propose a semi-automatic multi-stage method to extract roads from high resolution remote sensing imagery based on multi-features. The proposed method contains two main steps, i.e. segmenting original image wi...
متن کاملFarmland Parcels Extraction Based on High Resolution Remote Sensing Images
Extracting farmland parcels from high resolution remote sensing images is an important issue for land-use dynamic monitoring, precision agriculture and other fields. However, the traditional method, using GIS software and manual digital, has wasted a lot of human and material resources. In addition, the results are impacted by the human factors obviously. Therefore, an automatically extraction ...
متن کاملA New Method for Urban Road Extraction based on High Resolution Remote Sensing Images
An efficient method to extract urban road based on the side trees from a high resolution remote sensing image is proposed. First, the high resolution remote sensing image was preprocessed so as to improve the extraction accuracy and reduce the difficulty of later treatment. Second, according to the reflective property of side trees and urban road, it is necessary to detect the side trees region...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ISPRS International Journal of Geo-Information
سال: 2017
ISSN: 2220-9964
DOI: 10.3390/ijgi6100314