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.

Vehicle Detection and Tracking in Complex Traffic Circumstances with Roadside LiDAR

2019 ◽  
Vol 2673 (9) ◽  
pp. 62-71 ◽  
Author(s):  
Zhenyao Zhang ◽  
Jianying Zheng ◽  
Hao Xu ◽  
Xiang Wang
Keyword(s):  
High Resolution ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Vehicle Detection ◽  
Traffic Data ◽  
The Road ◽  
Detection And Tracking ◽  
Area Of Interest ◽  
Vehicle Detection And Tracking ◽  
On The Road

The problem of traffic safety has become increasingly prominent owing to the increase in the number of cars. Traffic accidents often occur in an instant, which makes it necessary to obtain traffic data with high resolution. High-resolution micro traffic data (HRMTD) indicates that the spatial resolution reaches the centimeter level and that the temporal resolution reaches the millisecond level. The position, direction, speed, and acceleration of objects on the road can be extracted with HRMTD. In this paper, a LiDAR sensor was installed at the roadside for data collection. An adjacent-frame fusion method for vehicle detection and tracking in complex traffic circumstances is presented. Compared with the previous research, objects can be detected and tracked without object model extraction or a bounding box description. In addition, problems caused by occlusion can be improved using adjacent frames fusion in the vehicle detection and tracking algorithms in this paper. The data processing procedure are as follows: selection of area of interest, ground point removal, vehicle clustering, and vehicle tracking. The algorithm has been tested at different sites (in Reno and Suzhou), and the results demonstrate that the algorithm can perform well in both simple and complex application scenarios.

scholarly journals Airborne SAR Radiometric Calibration Based on Improved Sliding Window Integral Method

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 320
Author(s):  
Lu Li ◽  
Fengli Zhang ◽  
Yun Shao ◽  
Qiufang Wei ◽  
Qiqi Huang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Integral Method ◽  
Target Position ◽  
Sliding Window ◽  
Radiometric Calibration ◽  
Sar Images ◽  
Point Target ◽  
Airborne Sar ◽  
The Impact

To verify the performance of the high-resolution fully polarimetric synthetic aperture radar (SAR) sensor carried by the Xinzhou 60 remote-sensing aircraft, we used corner reflectors to calibrate the acquired data. The target mechanism in high-resolution SAR images is more complex than it is in low-resolution SAR images, the impact of the point target pointing error on the calibration results is more obvious, and the target echo signal of high-resolution images is more easily affected by speckle noise; thus, more accurate extraction of the point target position and the response energy is required. To solve this problem, this paper introduces image context information and proposes a method to precisely determine the integration region of the corner reflector using sliding windows based on the integral method. The validation indicates that the fully polarimetric SAR sensor on the Xinzhou 60 remote-sensing aircraft can accurately reflect the radiometric characteristics of the ground features and that the integral method can obtain more stable results than the peak method. The sliding window allows the position of the point target to be determined more accurately, and the response energy extracted from the image via the integral method is closer to the theoretical value, which means that the high-resolution SAR system can achieve a higher radiometric calibration accuracy. Additionally, cross-validation reveals that the airborne SAR images have similar quality levels to Sentinel-1A and Gaofen-3 images.

scholarly journals The Real America: Representation of American Society in Jack Kerouac’s On the Road Based on Michel Foucault’s Notions of Institutions, Normalization, and Surveillance

2020 ◽  
Vol 28 (4) ◽  
Author(s):  
Iraj Soleymanjahan ◽  
Nasser Maleki ◽  
Hiwa Weisi
Keyword(s):  
Political Theory ◽  
Jack Kerouac ◽  
The Novel ◽  
American Government ◽  
The Real ◽  
The Road ◽  
The 1950S ◽  
On The Road ◽  
American Society ◽  
Fitting In

This study aimed to scrutinize and analyze the novel On the Road by Jack Kerouac in the light of the political theory of Michel Foucault. The focus, however, would be specifically on the concepts of normalization, institutions and surveillance put forward in his book Discipline and Punish (1995), coupled with some other works that wrestle with the close links of power, society, and institutions. This research seeked to describe the real America in the 1950s, a decade that witnessed both conformism and radicality, represented in the novel. The study pointed out that the novel was a depiction of the American society in the 1950s in which distinct, overlapping institutions did a great deal in restricting the freedom of individuals who seeked liberation and authenticity. The American government draws on the power of the law, police, prison, academia, family, and different other overlapping and satellite institutions, working hand in hand to create a matrix. The concept of matrix, therefore, highlights the nexus through which the normalization and conformity of the individuals are guaranteed, leading to the creation of perfect institutionalized men who are reduced to the level of simpletons. The whole novel becomes the story of some men who advocate abnormality as their credo to live a free life. Quite the contrary, they are transitioned into meek and docile bodies whose identity hinges on being like others in fitting in and following the norms through different dominant fragmenting institutions.

scholarly journals Bridge Extraction Algorithm Based on Deep Learning and High-Resolution Satellite Image

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Wenbing Yang ◽  
Xiaoqi Gao ◽  
Chunlei Zhang ◽  
Feng Tong ◽  
Guantian Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Deep Learning ◽  
High Resolution ◽  
Satellite Image ◽  
Structural Similarity ◽  
Remote Sensing Images ◽  
The Road ◽  
Extraction Algorithm ◽  
Length Width ◽  
On The Road

This paper proposes a novel method of extracting roads and bridges from high-resolution remote sensing images based on deep learning. Edge detection is performed on the images in the road area along with the road skeleton line, and the result of the detected binary edge is vectorized. The interference of protective belts on both sides of the road, road vehicles, road green belts, traffic signs, etc. and the shadow interference of the bridge itself are eliminated to determine the parallel sides of the road. The bridge features on the road are used to locate the detected bridge and obtain information such as the location, length, width, and direction of the bridge, verifying the experimental results of the Shaoguan Le point images. In addition, in order to learn higher-level road feature information, the algorithm in this paper introduces the hollow convolution and multicore pooling modules. Secondly, the residual refinement network further refines the output of the prediction network to improve the ambiguity of the prediction network results. In addition, in view of the small proportion of road pixels in remote sensing images, the network also integrates binary cross entropy, structural similarity, and intersection ratio loss function to reduce road information loss. The applicability of the proposed study was tested, and the results show that the algorithm is very effective for the extraction of road and bridge targets.

Community Colleges: Vital Partners on the Road to Diversity

ASHA Leader ◽  
2006 ◽  
Vol 11 (5) ◽  
pp. 14-17 ◽  
Author(s):  
Shelly S. Chabon ◽  
Ruth E. Cain
Keyword(s):  
Community Colleges ◽  
The Road ◽  
On The Road
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