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150 results on '"Su, Ang"'

1. Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey

Author

Wang, Kun, Wang, Zi, Li, Zhang, Su, Ang, Teng, Xichao, Liu, Minhao, and Yu, Qifeng

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Oriented object detection is one of the most fundamental and challenging tasks in remote sensing, aiming to locate and classify objects with arbitrary orientations. Recent years have witnessed remarkable progress in oriented object detection using deep learning techniques. Given the rapid development of this field, this paper aims to provide a comprehensive survey of recent advances in oriented object detection. To be specific, we first review the technical evolution from horizontal object detection to oriented object detection and summarize the specific challenges, including feature misalignment, spatial misalignment, and periodicity of angle. Subsequently, we further categorize existing methods into detection framework, oriented bounding box (OBB) regression, and feature representations, and discuss how these methods address the above challenges in detail. In addition, we cover several publicly available datasets and performance evaluation protocols. Furthermore, we provide a comprehensive comparison and analysis of state-of-the-art oriented object detection methods. Toward the end of this paper, we discuss several future directions for oriented object detection.

Published
2023

2. Full-Scale Attitude Solution Based on Dual Euler Method

Author

Zhao, Mingcun, Bao, Wenhui, Dong, Jing, Su, Ang, Han, Songlai, Lu, Xiaohui, Gao, Jiaying, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yan, Liang, editor, and Deng, Yimin, editor

Published
2023
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3. A Multimodal Image Matching Algorithm Based on Structure Feature

Author

Wang, Xing, Zhao, Jiajia, su, Ang, Guan, Banglei, Dong, Jing, Han, Songlai, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yan, Liang, editor, and Deng, Yimin, editor

Published
2023
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11. Rotational Alignment of IMU-camera Systems with 1-Point RANSAC

Author

Guan, Banglei, Su, Ang, Li, Zhang, Fraundorfer, Friedrich, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lin, Zhouchen, editor, Wang, Liang, editor, Yang, Jian, editor, Shi, Guangming, editor, Tan, Tieniu, editor, Zheng, Nanning, editor, Chen, Xilin, editor, and Zhang, Yanning, editor

Published
2019
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15. Infection Studies with Airway Organoids from Carollia perspicillata Indicate That the Respiratory Epithelium Is Not a Barrier for Interspecies Transmission of Influenza Viruses

Author

Su, Ang, primary, Yan, Miaomiao, additional, Pavasutthipaisit, Suvarin, additional, Wicke, Kathrin D., additional, Grassl, Guntram A., additional, Beineke, Andreas, additional, Felmy, Felix, additional, Schmidt, Sabine, additional, Esser, Karl-Heinz, additional, Becher, Paul, additional, and Herrler, Georg, additional

Published
2023
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17. Semisupervised Cross-Domain Remote Sensing Scene Classification via Category-Level Feature Alignment Network

Author

Li, Yang, Li, Zhang, Su, Ang, Wang, Kun, Wang, Zi, and Yu, Qifeng

Abstract

In recent years, remote sensing scene classification has obtained much attention owing to its widespread applications. Nevertheless, the existing deep learning-based scene classification methods suffer from domain shift. Given a few labeled target domain samples, semisupervised domain adaptation (SSDA) has been explored to enhance the generalization ability of the neural network across domains. However, current SSDA methods focus on domain alignment but fail to achieve fine-grained category-level feature alignment. In this article, we propose a category-level feature alignment network (CFAN), which uses a dual-directional prototype alignment module to achieve category-level feature alignment of the source and target domains. In particular, we utilize pseudo-labeling technique to generate pseudo labels for unlabeled target domain features and build target domain prototypes. Nonetheless, the model performance suffers from the noise conveyed in the pseudo labels. To tackle this issue, we further employ the adversarial training strategy to align the multimodal information of different domains and thus improve the quality of pseudo labels. The proposed CFAN outperforms state-of-the-art (SOTA) methods on commonly used remote sensing datasets, with respective mean accuracies of 92.9%, 93.3%, and 94.3% with EfficientNet_B0, VGG16, and ResNet34 backbones in12 adaptation scenarios.

Published
2024
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20. Cross-Modal Images Matching Based Enhancement to MEMS INS for UAV Navigation in GNSS Denied Environments.

Author

Han, Songlai, Zhao, Mingcun, Wang, Kai, Dong, Jing, and Su, Ang

Subjects
IMAGE registration, GLOBAL Positioning System, AERONAUTICAL navigation, REMOTE-sensing images, INFRARED imaging, INERTIAL navigation systems
Abstract

A new cross-modal image matching method is proposed to solve the problem that unmanned aerial vehicles (UAVs) are difficult to navigate in GPS-free environment and night environment. In this algorithm, infrared image or visible image is matched with satellite visible image. The matching process is divided into two steps, namely, coarse matching and fine alignment. Based on the dense structure features, the coarse matching algorithm can realize the position update above 10 Hz with a small amount of computation. Based on the end-to-end matching network, the fine alignment algorithm can align the multi-sensor image with the satellite image under the condition of interference. In order to obtain the position and heading information with higher accuracy, the fusion of the information after visual matching with the inertial information can restrain the divergence of the inertial navigation position error. The experiment shows that it has the advantages of strong anti-interference ability, strong reliability, and low requirements on hardware, which is expected to be applied in the field of unmanned navigation. [ABSTRACT FROM AUTHOR]

Published
2023
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21. Collision Avoidance Problem of Ellipsoid Motion

Author

Guo, Shujun, primary, Jing, Lujing, additional, Dai, Zhaopeng, additional, Yu, Yang, additional, Dang, Zhiqing, additional, You, Zhihang, additional, Su, Ang, additional, Gao, Hongwei, additional, Guan, Jinqiu, additional, and Song, Yujun, additional

Published
2022
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22. Massive Multifocal Familial GIST: A Case Report

Author

Steven Craig, Samuel R Thomson, and Su Ang

Subjects
medicine.medical_specialty, GiST, business.industry, General surgery, Medicine, business, neoplasms, digestive system diseases
Abstract

Gastrointestinal stromal tumors (GIST) are uncommon mesenchymal neoplasms of the gastrointestinal tract. The majority of GISTs are the result of sporadic mutations, most commonly of the KIT proto-oncogene. Germline mutations account for 5% of GISTs and result in rare familial syndromes. We present a 66-year-old male with a family history of GIST who presented with mild abdominal pain and was found to have a massive, multifocal GIST. The main tumor was resected via laparotomy and the weight was found over 2 kg. He was commenced on adjuvant therapy with imatinib and will be closely monitored. Familial GISTs tend to be larger, multifocal and diagnosed at a younger age. Familial GISTs are extremely rare conditions. There is little to no evidence on the long-term outcomes of treatment on which to base management decisions.

Published
2021

30. Preparation and properties of cast in situ tunnel clean water concrete with high crack-resistance.

Author

CUI Jia, SU Ang, LI Ming, JIANG Qian, and WANG Yujiang

Subjects
WATER tunnels, CONCRETE mixing, CONCRETE, TUNNEL junctions (Materials science), EFFECT of temperature on concrete, RAW materials
Abstract

Crack control at the early cage and the long-term and the promotion of appearance quality should be considered simultaneously for the design of cast in situ tunnel sidewall clean water concrete at open section. Based on the crack resistance evaluation and design of concrete by the multi-field coupling mechanism in advance, the raw materials and concrete mix proportion were optimized, and the temperature rise inhibited and slight expansion anti-crack agent and rheological modified agent were adopted to regulate the workability, temperature and deformation of concrete, and then the clean water concrete with high crack-resistance which meet the requirements was prepared. [ABSTRACT FROM AUTHOR]

Published
2022

34. Infected intrahepatic pancreatic pseudocyst: a surprising misdiagnosis

Author

Yasser Farooque, Rafael Gaszynski, Su Ang, and Pearl Wong

Subjects
Pathology, medicine.medical_specialty, Pancreatic pseudocyst, business.industry, General Medicine, medicine.disease, Text mining, Pancreatitis, Pancreatic Pseudocyst, medicine, Drainage, Humans, Surgery, Diagnostic Errors, business
Published
2021

47. Infection Studies in Pigs and Porcine Airway Epithelial Cells Reveal an Evolution of A(H1N1)pdm09 Influenza A Viruses Toward Lower Virulence

Author

Fu, Yuguang, primary, Dürrwald, Ralf, additional, Meng, Fandan, additional, Tong, Jie, additional, Wu, Nai-Huei, additional, Su, Ang, additional, Yin, Xiangping, additional, Haas, Ludwig, additional, Schmidtke, Michaela, additional, Zell, Roland, additional, Krumbholz, Andi, additional, and Herrler, Georg, additional

Published
2019
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48. Vision navigation for aircrafts based on 3D reconstruction from real-time image sequences

Author

Shang Yang, Liu Haibo, YU QiFeng, Zhu Zunshang, and Su Ang

Subjects
Matching (graph theory), Computer science, business.industry, 3D reconstruction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, General Engineering, Terrain, Image (mathematics), Position (vector), Global Positioning System, General Materials Science, Computer vision, Artificial intelligence, business, Pose, Inertial navigation system
Abstract

In this paper, we propose a novel vision navigation method based on three-dimensional (3D) reconstruction from real-time image sequences. It adapts 3D reconstruction and terrain matching to establish the correspondence between image points and 3D space points and the terrain reference (by using a digital elevation map (DEM)). An adaptive weighted orthogonal iterative pose estimation method is employed to calculate the position and attitude angle of the aircraft. Synthesized and real experiments show that the proposed method is capable of providing accurate navigation parameters for a long-endurance flight without using a global positioning system or an inertial navigation system (INS). Moreover, it can be combined with an INS to achieve an improved navigation result.

Published
2015

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