MACS-Mar: a real-time remote sensing system for maritime security applications

被引:0
|
作者
Jörg Brauchle
Steven Bayer
Daniel Hein
Ralf Berger
Sebastian Pless
机构
[1] Institute of Optical Sensor Systems,German Aerospace Center (DLR)
来源
CEAS Space Journal | 2019年 / 11卷
关键词
Maritime security; Automatic object extraction; Multi-sensor; MACS; Real-time; Aerial camera; Direct georeferencing;
D O I
暂无
中图分类号
学科分类号
摘要
The modular aerial camera system (MACS) is a development platform for optical remote sensing concepts, algorithms and special environments. For real-time services for maritime security (EMSec joint project), a new multi-sensor configuration MACS-Mar was realized. It consists of four co-aligned sensor heads in the visible RGB, near infrared (NIR, 700–950 nm), hyperspectral (HS, 450–900 nm) and thermal infrared (TIR, 7.5–14 µm) spectral range, a mid-cost navigation system, a processing unit and two data links. On-board image projection, cropping of redundant data and compression enable the instant generation of direct-georeferenced high-resolution image mosaics, automatic object detection, vectorization and annotation of floating objects on the water surface. The results were transmitted over a distance up to 50 km in real-time via narrow and broadband data links and were visualized in a maritime situation awareness system. For the automatic onboard detection of floating objects, a segmentation and classification workflow based on RGB, IR and TIR information was developed and tested. The completeness of the object detection in the experiment resulted in 95%, the correctness in 53%. Mostly, bright backwash of ships lead to an overestimation of the number of objects, further refinement using water homogeneity in the TIR, as implemented in the workflow, couldn’t be carried out due to problems with the TIR sensor, else distinctly better results could have been expected. The absolute positional accuracy of the projected real-time imagery resulted in 2 m without postprocessing of images or navigation data, the relative measurement accuracy of distances is in the range of the image resolution, which is about 12 cm for RGB imagery in the EMSec experiment.
引用
收藏
页码:35 / 44
页数:9
相关论文
共 50 条
  • [21] Laser airborne remote sensing real-time acquisition, processing, and control system
    Kelly, BT
    Pierson, RE
    Dropka, TJ
    Dowling, JA
    Lang, LM
    Fox, MJ
    APPLICATION OF LIDAR TO CURRENT ATMOSPHERIC TOPICS II, 1997, 3127 : 286 - 295
  • [22] Integration of the Real-Time Remote Wireless Sensing System for Glucose Flexible Biosensor
    Chen, Jie-Ting
    Chou, Jung-Chuan
    Liao, Yi-Hung
    Chou, Hsueh-Tao
    Lin, Chin-Yi
    Chen, Jia-Liang
    WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL II, 2013, : 1097 - 1101
  • [23] Real-Time Object Detection in Remote Sensing Images Based on Embedded System
    Nong Yuanjun
    Wang Junjie
    ACTA OPTICA SINICA, 2021, 41 (10)
  • [24] Real-time Processing of Reflected GNSS Signals for Remote Sensing: System and Experiments
    Li, Weiqiang
    Yang, Dongkai
    Zhang, Bo
    Li, Mingli
    Zhang, Qishan
    JOURNAL OF NAVIGATION, 2011, 64 : S127 - S140
  • [25] A REAL-TIME REMOTE SENSING AND DATA ACQUISITION SYSTEM FOR A NUCLEAR POWER PLANT
    Kim, Kiho
    Hieu, Bui Van
    Beak, Seunghyun
    Choi, Seunghwan
    Son, Taeha
    Kim, Jung
    Han, Seungchul
    Jeong, Taikyeong
    NUCLEAR ENGINEERING AND TECHNOLOGY, 2011, 43 (02) : 99 - 104
  • [26] An RF backscatterer system for real-time multi-sensing applications
    Kumar, Deepak
    Mondal, Saikat
    Kaur, Amanpreet
    Deng, Yiming
    Chahal, Premjeet
    SENSORS AND ACTUATORS A-PHYSICAL, 2020, 303
  • [27] Real-time functional photoacoustic remote sensing microscopy
    Bell, Kevan L.
    Reza, Parsin Haji
    Zemp, Roger J.
    OPTICS LETTERS, 2019, 44 (14) : 3466 - 3469
  • [28] Reconfigurable onboard processing and real-time remote sensing
    Williams, JA
    Dawood, AS
    Visser, SJ
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2003, E86D (05) : 819 - 829
  • [29] Compression method for real-time systems of remote sensing
    Gashnikov, M
    Glumov, N
    Sergeyev, V
    15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS: IMAGE, SPEECH AND SIGNAL PROCESSING, 2000, : 228 - 231
  • [30] Real-Time Implementation of a Dual-Axis PV System with MPPT for Maritime Applications
    Zarrabian, Sina
    Elsaiah, Salem
    2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,