Review of Road Segmentation for SAR Images
نویسندگان
چکیده
Road segmentation for synthetic aperture radar (SAR) images is of great practical significance. With the rapid development and wide application SAR imaging technology, this problem has attracted much attention. At present, there are numerous road methods. This paper analyzes summarizes methods over years. Firstly, traditional algorithms classified according to degree automation principle. Advantages disadvantages introduced successively each method. Then, popular based on deep learning in recent years systematically introduced. Finally, novel neural networks capsule paradigm self-attention mechanism forecasted as future research images.
منابع مشابه
Segmentation, Filtering and Classification of Sar Images
Segmentation plays a key role in many image processing applications, including SAR image analysis. Given a high-quality segmentation, important tasks such as adaptive noise filtering and classification can be greatly simplified. However, the presence of a strong, multiplicative noise known as speckle makes segmentation of SAR images very difficult. A new, hybrid segmentation technique has permi...
متن کاملRoad Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks
Remote sensing is extensively used in cartography. As transportation networks expand, extracting roads automatically from satellite images is crucial to keep maps up-to-date. Synthetic Aperture Radar (SAR) satellites can provide high resolution topographical maps. However roads are difficult to identify in SAR images as they look visually similar to other objects like rivers and railways. Deep ...
متن کاملMRF-based Algorithms for Segmentation of SAR Images
In this paper we demonstrate a new method for Bayesian image segmentation, with specific application to Synthetic Aperture Radar (SAR) imagery, and we compare its performance to conventional Bayesian segmentation methods. Segmentation can be an important feature extraction technique in recognition problems, especially when we can incorporate prior information to improve the segmentation. Markov...
متن کاملA Novel Statistical Approach for Segmentation of Sar Images
The statistical parameters include high order image statistics like skewness which describe the shape and symmetry of the image. SAR images data are the result of a coherent imaging system that produces the impair noise fact. Image segmentation is the process of unscrambling or grouping an image into different parts. The good feat of recognition algorithms based on the quality of segmented imag...
متن کاملBayesian Method for Segmentation of Sar Images in Rough Terrain
Radiometric correction is the essential prerequisite to obtain precise and valuable segmentation of remote sensing images, especially when dealing with mountainous regions where the terrain is more likely to be rough. Important applications such as snow cover segmentation have usually to be performed on images of very rough mountainous terrain where this preprocessing step turns out to be espec...
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: Remote Sensing
سال: 2021
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs13051011