Research and Development of a Real Time Water Line Surveying and Mapping System

FENG Chuan-yong; ZHANG Zhen-jun; ZHENG Ya-hui

doi:10.11988/ckyyb.20201090

PDF(2262 KB)

Journal of Changjiang River Scientific Research Institute ›› 2021, Vol. 38 ›› Issue (11) : 162-166. DOI: 10.11988/ckyyb.20201090

INFORMATION TECHNOLOGY APPLICATION

Research and Development of a Real Time Water Line Surveying and Mapping System

FENG Chuan-yong, ZHANG Zhen-jun, ZHENG Ya-hui

Author information +

History +

Abstract

Traditional method of manual contact measurement is hard to obtain water line; aerial survey method is risky and airspace approval procedures are complex; satellite remote sensing technology is of low time-efficiency and low degree of automation of data processing. In view of this, a water line surveying and mapping system integrating civil marine radar and GNSS compass is proposed. The theory and technical framework of automatic radar data acquisition and processing are constructed to complete the real-time water line surveying and mapping system. Typical application results unveil that the maximum absolute positioning error of the system based on marine radar is 1.19 m, and the mean square error is 0.70 m; the maximum repeated measurement error is 0.97 m, and the mean square error is 0.59 m. The accuracy of the system meets the requirements of water line surveying and mapping of 1∶5 000 and below scale topographic map. The system effectively overcomes the shortcomings of traditional operation modes with its low-cost, real-time, high efficiency and automation.

Key words

real-time waterline / marine radar / GNSS / surveying and mapping / system development

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

FENG Chuan-yong, ZHANG Zhen-jun, ZHENG Ya-hui. Research and Development of a Real Time Water Line Surveying and Mapping System[J]. Journal of Changjiang River Scientific Research Institute. 2021, 38(11): 162-166 https://doi.org/10.11988/ckyyb.20201090

References

[1] PEKEL J F, COTTAM A, GORELICK N, et al. High-resolution Mapping of Global Surface Water and Its Long-term Changes[J]. Nature, 2016, 540(7633): 418.
[2] WANG Hua, YANG Biao, JIANG Jian-ping, et al. Real-time Extraction of Water Surface Boundary Using Shipborne Radar[J]. International Journal of Remote Sensing, 2020, 41(7): 2739-2758.
[3] VERPOORTER C, KUTSER T, SEEKELL D A, et al. A Global Inventory of Lakes Based on High-resolution Satellite Imagery[J]. Geophysical Research Letters, 2014, 41(18): 6396-6402.
[4] CLEMENT M A,KILSBY C G, MOORE P. Multi-temporal Synthetic Aperture Radar Flood Mapping Using Change Detection[J]. Journal of Flood Risk Management, 2018, 11(2): 152-168.
[5] SUN J, MAO S. River Detection Algorithmin SAR Images Based on Edge Extraction and Ridge Tracing Techniques[J]. International Journal of Remote Sensing, 2011, 32(12): 3485-3494.
[6] 余连生,李智勇,文贡坚,等.遥感图像融合技术在潮间带地形提取中的应用[J].测绘学报,2011,40(5):551-554,562.
[7] 毋亭,侯西勇.海岸线变化研究综述[J].生态学报,2016,36(4):1170-1182.
[8] 于彩霞, 王家耀, 许军, 等.海岸线提取技术研究进展 [J].测绘科学技术学报, 2014, 31(3):305-309.
[9] VÖRÖSMARTY C J, GREEN P, SALISBURY J, et al. Global Water Resources: Vulnerability from Climate Change and Population Growth[J]. Science, 2000, 289(5477): 284-288.
[10]刘经南,高柯夫.智能时代测绘与位置服务领域的挑战与机遇[J].武汉大学学报(信息科学版),2017,42(11):1506-1517.
[11]CHEN Wen-qing, WANG Jian-bin, WANG Xue-jun,et al. Detection Probability Analysis of Airborne Radar for Marine Target[C]//Proceedings of the 6th IEEE International Symposium on Microwave, Shanghai, China. October 28-30, 2015.
[12]URMY S S, WARREN J D. Quantitative Ornithology with a Commercial Marine Radar: Standard-Target Calibration, Target Detection and Tracking, and Measurement of Echoes from Individuals and Flocks[J]. Methods in Ecology and Evolution, 2017, 8(7): 860-869.
[13]CHEN Xin-wei, HUANG Wei-min, ZHAO Chen, et al. Rain Detection from X-band Marine Radar Images: A Support Vector Machine-based Approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(3): 2115-2123.
[14]HONEGGER D A, HALLER M C. HOLMAN R A. High-resolution Bathymetry Estimates via X-band Marine Radar: 2. Effects of Currents at Tidal Inlets[J]. Coastal Engineering, 2020, 156: 1-17.