Research on Multiview Stereo Mapping Based on Satellite Video Images

Li, Wentao; Gao, Fuqing; Zhang, Peng; Li, Yihui; An, Yuan; Zhong, Xing; Lu, Qing

doi:10.1109/access.2021.3059487

Cited by 8 publications

(8 citation statements)

References 33 publications

(33 reference statements)

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“…In formula (2), D ij (k) represents the dynamic matrix data at time k, (i, j) represents the position of the pixel, D ij (k − 1) represents the dynamic matrix data at time k − 1, and λ represents the continuous frame. ere is no change in the pixel value in [18]. e motion state of each pixel is stored in this dynamic matrix, and only when those pixel values that do not change are updated to the background, that is, when the dynamic matrix D (k) is 0, the pixel is updated to the background.…”

Section: Function Realizationmentioning

confidence: 99%

Expressway Information Collection Processing and Control Technology Based on RFID Internet of Things

He¹

2022

Journal of Control Science and Engineering

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In order to solve the problems of highway traffic congestion and frequent traffic accidents, a technology method for highway information collection, processing, and control based on RFID Internet of Things is proposed. The highway information collection and processing control technology designed in this paper is based on radio frequency identification technology to realize the collection of highway vehicle information, analyze, and process the collected information, and finally get the road condition information. Through the extraction and analysis of the traffic flow information in the video surveillance, the background difference method is used to extract the relevant vehicle factors in the video, including the extraction of traffic flow information, vehicle model extraction, and vehicle speed extraction. Traffic detection provides convenience. The experimental data shows that from Monday to Friday on weekdays, the road congestion rates are 2.72%, 1.94%, 2.77%, 2.27%, and 3.47% respectively; the average vehicle speed on weekdays is 89.96 km/h, and the test results are fast and accurate. The proposed method integrates road information collection and road information service, realizes traffic detection when there are vehicles, and realizes detection and perception of large-scale road traffic systems. Travelers provide real-time traffic information and navigation services.

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Section: Function Realizationmentioning

confidence: 99%

Expressway Information Collection Processing and Control Technology Based on RFID Internet of Things

He¹

2022

Journal of Control Science and Engineering

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“…The emergence of this advanced data drives the development of the remote-sensing field in visual community. Single object tracking (SOT) in SVs, served as one of the most fundamental tasks, has prosperous application prospects in dynamic traffic surveillance and analysis [2], ocean monitoring [3], environmental monitoring [4], stereo mapping [5] and super-resolution [6]. SOT in SVs determines the position and range of an object in subsequent frames when its initial state is available only in the first frame.…”

Section: Iintroductionmentioning

confidence: 99%

Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker

Chen

Tang

Yin

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Satellite video (SV) can acquire rich spatiotemporal information on the Earth. Single object tracking (SOT) in SVs enables the continuous acquisition of the position and range of a specific object, expanding the field of remote-sensing applications. In SVs, objects are small with limited features and vulnerable to tracking drift. In this paper, a correlation filter-based dual-flow (DF) tracker is proposed to explore how the hybridization of spatial-spectral feature fusion and motion model can boost tracking. To represent small objects, the DF adaptively fuses complementary features using a state-aware indicator in feature flow. In motion flow, the indicator perceives the confidence of the feature flow. A dual-mode prediction model is then constructed to simulate the object's motion pattern, and cooperate linear and non-linear motion patterns to implement SOT in SVs. The ablation experiments demonstrate the dual-flow contributes to tracking. Experimental comparisons on 14 real SVs captured by the Jilin-1 satellite constellation show that DF achieves optimal performance with an area under the curve of 0.912 in the precision plot, 0.700 in the success plot, and a speed of 155.2 frames per second. This work would encourage the development of remote-sensing ground surveillance.

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“…From 2015 to the present, members of the Jilin-1 satellite constellation produced by China Changchun Satellite Technology Co., Ltd. (Changchun, China) have been launched. Currently, Jilin-1 can capture 30 FPS RGB videos with a GSD of 0.92 m. Video satellites in orbit deliver rich, dynamic information on the Earth's surface and have been successfully used for SOT [29][30][31], traffic analysis [32], stereo mapping [33] and river velocity measurement [34]. However, compared with natural video (NV), SOT in satellite video (SV) involves many challenges and can be defined as an emerging subject [35].…”

Section: Introductionmentioning

confidence: 99%

RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking

et al. 2022

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Single-object tracking (SOT) in satellite videos (SVs) is a promising and challenging task in the remote sensing community. In terms of the object itself and the tracking algorithm, the rotation of small-sized objects and tracking drift are common problems due to the nadir view coupled with a complex background. This article proposes a novel rotation adaptive tracker with motion constraint (RAMC) to explore how the hybridization of angle and motion information can be utilized to boost SV object tracking from two branches: rotation and translation. We decouple the rotation and translation motion patterns. The rotation phenomenon is decomposed into the translation solution to achieve adaptive rotation estimation in the rotation branch. In the translation branch, the appearance and motion information are synergized to enhance the object representations and address the tracking drift issue. Moreover, an internal shrinkage (IS) strategy is proposed to optimize the evaluation process of trackers. Extensive experiments on space-born SV datasets captured from the Jilin-1 satellite constellation and International Space Station (ISS) are conducted. The results demonstrate the superiority of the proposed method over other algorithms. With an area under the curve (AUC) of 0.785 and 0.946 in the success and precision plots, respectively, the proposed RAMC achieves optimal performance while running at real-time speed.

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Research on Multiview Stereo Mapping Based on Satellite Video Images

Cited by 8 publications

References 33 publications

Expressway Information Collection Processing and Control Technology Based on RFID Internet of Things

Expressway Information Collection Processing and Control Technology Based on RFID Internet of Things

Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker

RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking

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