date: 2017-10-26T09:21:36Z
pdf:PDFVersion: 1.6
pdf:docinfo:title: Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1
xmp:CreatorTool: LaTeX with hyperref package
access_permission:can_print_degraded: true
subject: 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.
dc:format: application/pdf; version=1.6
pdf:docinfo:creator_tool: LaTeX with hyperref package
access_permission:fill_in_form: true
pdf:encrypted: false
dc:title: Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1
modified: 2017-10-26T09:21:36Z
cp:subject: 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.
pdf:docinfo:subject: 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.
pdf:docinfo:creator: Yongchao Zhu, Kegen Yu, Jingui Zou and Jens Wickert
PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.17 (TeX Live 2016/W32TeX) kpathsea version 6.2.2
meta:author: Yongchao Zhu, Kegen Yu, Jingui Zou and Jens Wickert
trapped: False
meta:creation-date: 2017-07-12T10:09:54Z
created: Wed Jul 12 12:09:54 CEST 2017
access_permission:extract_for_accessibility: true
Creation-Date: 2017-07-12T10:09:54Z
Author: Yongchao Zhu, Kegen Yu, Jingui Zou and Jens Wickert
producer: pdfTeX-1.40.17
pdf:docinfo:producer: pdfTeX-1.40.17
dc: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.
Keywords: sea ice; GNSS-R; Delay-Doppler Map (DDM); differential DDM (dDDM); UK TechDemoSat-1 (TDS-1)
access_permission:modify_annotations: true
dc:creator: Yongchao Zhu, Kegen Yu, Jingui Zou and Jens Wickert
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.
dcterms:created: 2017-07-12T10:09:54Z
Last-Modified: 2017-10-26T09:21:36Z
dcterms:modified: 2017-10-26T09:21:36Z
title: Sea Ice Detection Based on Differential Delay-Doppler Maps from UK TechDemoSat-1
xmpMM:DocumentID: uuid:eaafbe30-ddb5-4575-adcd-6b24a043a94a
Last-Save-Date: 2017-10-26T09:21:36Z
pdf:docinfo:keywords: sea ice; GNSS-R; Delay-Doppler Map (DDM); differential DDM (dDDM); UK TechDemoSat-1 (TDS-1)
pdf:docinfo:modified: 2017-10-26T09:21:36Z
meta:save-date: 2017-10-26T09:21:36Z
pdf:docinfo:custom:PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.17 (TeX Live 2016/W32TeX) kpathsea version 6.2.2
Content-Type: application/pdf
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator: Yongchao Zhu, Kegen Yu, Jingui Zou and Jens Wickert
dc:subject: sea ice; GNSS-R; Delay-Doppler Map (DDM); differential DDM (dDDM); UK TechDemoSat-1 (TDS-1)
access_permission:assemble_document: true
xmpTPg:NPages: 19
access_permission:extract_content: true
access_permission:can_print: true
pdf:docinfo:trapped: False
meta:keyword: sea ice; GNSS-R; Delay-Doppler Map (DDM); differential DDM (dDDM); UK TechDemoSat-1 (TDS-1)
access_permission:can_modify: true
pdf:docinfo:created: 2017-07-12T10:09:54Z