Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1
Global Navigation Satellite System (GNSS) signals can be exploited to remotely sense atmosphere and land and ocean surface to retrieve a range of geophysical parameters. This paper proposes two new methods, termed as power-summation of differential Delay-Doppler Maps (PS-D) and pixel-number of diffe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/7/1614 |
| _version_ | 1811301486865416192 |
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| author | Yongchao Zhu Kegen Yu Jingui Zou Jens Wickert |
| author_facet | Yongchao Zhu Kegen Yu Jingui Zou Jens Wickert |
| author_sort | Yongchao Zhu |
| collection | DOAJ |
| description | Global Navigation Satellite System (GNSS) signals can be exploited to remotely sense atmosphere and land and ocean surface to retrieve a range of geophysical parameters. This paper proposes two new methods, termed as power-summation of differential Delay-Doppler Maps (PS-D) and pixel-number of differential Delay-Doppler Maps (PN-D), to distinguish between sea ice and sea water using differential Delay-Doppler Maps (dDDMs). PS-D and PN-D make use of power-summation and pixel-number of dDDMs, respectively, to measure the degree of difference between two DDMs so as to determine the transition state (water-water, water-ice, ice-ice and ice-water) and hence ice and water are detected. Moreover, an adaptive incoherent averaging of DDMs is employed to improve the computational efficiency. A large number of DDMs recorded by UK TechDemoSat-1 (TDS-1) over the Arctic region are used to test the proposed sea ice detection methods. Through evaluating against ground-truth measurements from the Ocean Sea Ice SAF, the proposed PS-D and PN-D methods achieve a probability of detection of 99.72% and 99.69% respectively, while the probability of false detection is 0.28% and 0.31% respectively. |
| first_indexed | 2024-04-13T07:09:41Z |
| format | Article |
| id | doaj.art-06289ce3e5fe443daa60b139ce9a815b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:09:41Z |
| publishDate | 2017-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-06289ce3e5fe443daa60b139ce9a815b2022-12-22T02:56:53ZengMDPI AGSensors1424-82202017-07-01177161410.3390/s17071614s17071614Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1Yongchao Zhu0Kegen Yu1Jingui Zou2Jens Wickert3School of Geodesy and Geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, ChinaSchool of Geodesy and Geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, ChinaSchool of Geodesy and Geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, ChinaGerman Research Centre for Geosciences, GFZ Potsdam 14473, GermanyGlobal Navigation Satellite System (GNSS) signals can be exploited to remotely sense atmosphere and land and ocean surface to retrieve a range of geophysical parameters. This paper proposes two new methods, termed as power-summation of differential Delay-Doppler Maps (PS-D) and pixel-number of differential Delay-Doppler Maps (PN-D), to distinguish between sea ice and sea water using differential Delay-Doppler Maps (dDDMs). PS-D and PN-D make use of power-summation and pixel-number of dDDMs, respectively, to measure the degree of difference between two DDMs so as to determine the transition state (water-water, water-ice, ice-ice and ice-water) and hence ice and water are detected. Moreover, an adaptive incoherent averaging of DDMs is employed to improve the computational efficiency. A large number of DDMs recorded by UK TechDemoSat-1 (TDS-1) over the Arctic region are used to test the proposed sea ice detection methods. Through evaluating against ground-truth measurements from the Ocean Sea Ice SAF, the proposed PS-D and PN-D methods achieve a probability of detection of 99.72% and 99.69% respectively, while the probability of false detection is 0.28% and 0.31% respectively.https://www.mdpi.com/1424-8220/17/7/1614sea iceGNSS-RDelay-Doppler Map (DDM)differential DDM (dDDM)UK TechDemoSat-1 (TDS-1) |
| spellingShingle | Yongchao Zhu Kegen Yu Jingui Zou Jens Wickert Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1 Sensors sea ice GNSS-R Delay-Doppler Map (DDM) differential DDM (dDDM) UK TechDemoSat-1 (TDS-1) |
| title | Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1 |
| title_full | Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1 |
| title_fullStr | Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1 |
| title_full_unstemmed | Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1 |
| title_short | Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1 |
| title_sort | sea ice detection based on differential delay doppler maps from uk techdemosat 1 |
| topic | sea ice GNSS-R Delay-Doppler Map (DDM) differential DDM (dDDM) UK TechDemoSat-1 (TDS-1) |
| url | https://www.mdpi.com/1424-8220/17/7/1614 |
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