A Method for Road Area Detection in High Resolution SAR Images

نویسندگان

  • Mehdi Saati
  • Jalal Amini
چکیده

Automatic extraction of road from satellite images is one of the most important researches in the field of remote sensing. The method proposed in this study is based on a fuzzy method for detection of road areas from high resolution SAR images. In this method, the multiple features are extracted first based on the backscatter coefficient of each pixel and its neighbor pixels from the input image. The extracted features are combined with each other in the next step using a fuzzy algorithm and the desired road areas are selected separately in the last step considering the spatial and spectral criteria. The favorite results and root mean square error of 87% were obtained by applying this algorithm on high resolution SAR images obtained from the TerraSAR satellite. Keywords—component; Multiple features, road detection, fuzzy algorithm, high resolution, synthetic aperture radar.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Extended Sub-look Analysis In Polarimetric SAR Data For Ship Detection

The monitoring of maritime areas with remote sensing is essential for security reasons and also for the conservation of environment. The synthetic aperture radar (SAR) can play an important role in this matter by considering the possibility of acquiring high-resolution images at nighttime and under cloud cover. Recently, the new approaches based on the sub-look analysis for preserving the infor...

متن کامل

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 کامل

A New Urban Road Detection Method in High-resolution Images Based on Bayesian Network

In view of the fact that road network detection effect in high-resolution image is not satisfying, an approach for road network detection based on Bayesian Network is put forward in this paper. First, under the guidance of existing GIS data, extract roads from remote-sensing images, and obtain most of the unchanged road edge information and suspected road edge information. Then, making use of t...

متن کامل

Improving Road Network Extraction in High Resolution Sar Images by Data Fusion

In this paper, the problem of the detection of road networks in high resolution Synthetic Aperture Radar (SAR) images is addressed. Our method, which is an improvement of previous work based on line extraction and connection with Markov random field, is dedicated to dense urban areas. The major modifications are, first, the introduction of a classification in order to improve both the level of ...

متن کامل

Automatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method

Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014