scholarly journals COARSE-TO-FINE ACCURATE REGISTRATION FOR AIRBORNE SAR IMAGES USING SAR-FAST AND DSP-LATCH

2018 ◽  
Vol 163 ◽  
pp. 89-106 ◽  
Author(s):  
Huai Yu ◽  
Wen Yang ◽  
Yan Liu
Keyword(s):  
Sar Images ◽  
Airborne Sar ◽  
Coarse To Fine

An Efficient Segmentation Method for Mariculture Areas on Airborne SAR Images

2019 ◽  
Vol 53 (3) ◽  
pp. 30-38
Author(s):  
Houjun Wang ◽  
Hui Liu ◽  
Ning Ding ◽  
Pingping Jing ◽  
Guangyu Li
Keyword(s):  
Image Data ◽  
Synthetic Aperture ◽  
Sar Image ◽  
Adaptive Segmentation ◽  
Segmentation Method ◽  
Clustering Method ◽  
Sar Images ◽  
Local Patch ◽  
Airborne Sar ◽  
Coarse To Fine

AbstractIn this paper, the problems of mariculture area segmentation and corresponding area value estimations are investigated on the basis of airborne synthetic aperture radar (SAR) images. In order to deal with a limited amount of noisy airborne SAR image data in an efficient way, an effective coarse-to-fine approach is proposed, consisting of three major components, including (1) an adaptive segmentation method for each local patch to remove noise from the ocean background, (2) a dynamic coarse-to-fine clustering method for grouping pixels to achieve image segments, and (3) a polygon-fitting-based algorithm to obtain regular borders for each region and corresponding area value. Some feasible experiments are operated based on the restricted airborne SAR images, and the effectiveness of the proposed algorithm is validated in terms of the provided pixel level evaluation annotations.

scholarly journals An Adaptive Hierarchical Detection Method for Ship Targets in High-Resolution SAR Images

2020 ◽  
Vol 12 (2) ◽  
pp. 303 ◽  
Author(s):  
Yi Liang ◽  
Kun Sun ◽  
Yugui Zeng ◽  
Guofei Li ◽  
Mengdao Xing
Keyword(s):  
Detection Method ◽  
Estimation Method ◽  
Kernel Density ◽  
Image Resolution ◽  
Synthetic Aperture ◽  
Sar Images ◽  
Airborne Sar ◽  
Visual Attention Mechanism ◽  
Synthetic Aperture Radars ◽  
Coarse To Fine

With the improvement of image resolution in synthetic aperture radars (SARs), sea clutter characteristics become more complex, which poses new challenges to traditional ship target detection missions. In this paper, to detect ship targets quickly and efficiently in a complex background, we propose an adaptive hierarchical detection method based on a coarse-to-fine mechanism. This method constructs a new visual attention mechanism to strengthen ship targets and obtain the candidate targets adaptively by the means dichotomy method. On this basis, the precise detection results of the targets are obtained using the speed block kernel density estimation method, which maintains constant false alarm characteristics. Compared with existing methods, the adaptive hierarchical detection method has simple, fast, and accurate characteristics. Experiments based on GF-III satellite and airborne SAR datasets are presented to demonstrate the effectiveness of the proposed method.

scholarly journals Road Extraction from High-Resolution SAR Images via Automatic Local Detecting and Human-Guided Global Tracking

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Jianghua Cheng ◽  
Wenxia Ding ◽  
Xishu Ku ◽  
Jixiang Sun
Keyword(s):  
High Resolution ◽  
Sar Images ◽  
The Road ◽  
Global Tracking ◽  
On The Road ◽  
Airborne Sar ◽  
Fitting In ◽  
Searching Method ◽  
Local Detection ◽  
Local Road

Because of existence of various kinds of disturbances, layover effects, and shadowing, it is difficult to extract road from high-resolution SAR images. A new road center-point searching method is proposed by two alternant steps: local detection and global tracking. In local detection step, double window model is set, which consists of the outer fixed square window and the inner rotary rectangular one. The outer window is used to obtain the local road direction by using orientation histogram, based on the fact that the surrounding objects always range along with roads. The inner window rotates its orientation in accordance with the result of local road direction calculation and searches the center points of a road segment. In global tracking step, particle filter of variable-step is used to deal with the problem of tracking frequently broken by shelters along the roadside and obstacles on the road. Finally, the center-points are linked by quadratic curve fitting. In 1 m high-resolution airborne SAR image experiment, the results show that this method is effective.

scholarly journals Autofocusing SAR images via local estimates of flight trajectory

2016 ◽  
Vol 8 (6) ◽  
pp. 881-889 ◽  
Author(s):  
Oleksandr O. Bezvesilniy ◽  
Ievgen M. Gorovyi ◽  
Dmytro M. Vavriv
Keyword(s):  
Radar Data ◽  
Navigation Systems ◽  
Sar Images ◽  
Time Intervals ◽  
Quadratic Map ◽  
X Band ◽  
Resolution Imaging ◽  
Airborne Sar ◽  
Short Time ◽  
Cross Track

High-resolution imaging with an airborne synthetic aperture radar (SAR) calls for precise trajectory measurements that can hardly be achieved with common navigation systems. In this paper, an efficient method called the local-quadratic map-drift autofocus is developed for the estimation of residual (uncompensated) motion errors directly from the received radar data. The map-drift autofocus is applied locally on short time intervals to estimate the cross-track components of the aircraft acceleration. The estimated acceleration is then integrated to evaluate the residual trajectory errors on the whole data frame interval. The method has been successfully tested with an X-band airborne SAR system.

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