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2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS最新文献

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Copernicus Global Land Service NDVI Continuity with Sentinel-3 Data 哥白尼全球土地服务NDVI连续性与Sentinel-3数据
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9554717
E. Swinnen, C. Toté, J. León-Tavares, R. Lacaze
{"title":"Copernicus Global Land Service NDVI Continuity with Sentinel-3 Data","authors":"E. Swinnen, C. Toté, J. León-Tavares, R. Lacaze","doi":"10.1109/IGARSS47720.2021.9554717","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9554717","url":null,"abstract":"The global component of the Copernicus Land Monitoring Service (CGLS) provides two NDVI time series, at 300 m and 1 km, based on SPOT/VGT and PROBA-V. At the end of the operational mission of PROBA-V, these NDVI time series are continued using data from Sentinel-3 OLCI (S-3). This paper introduces the different CGLS NDVI data sets and presents the results of the evaluation of the S-3 based NDVI for the continuation of the current NDVI archives.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126196634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sentinel-1 Azimuth Subbanding for Multiple Aperture Interferometry - Test Case Over the Roi Baudouin Ice Shelf, East Antarctica 多孔径干涉测量的Sentinel-1方位角子带——在东南极洲Roi Baudouin冰架上的测试案例
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9553522
M. Kirkove, Quentin Glaude, D. Derauw, C. Barbier, F. Pattyn, A. Orban
{"title":"Sentinel-1 Azimuth Subbanding for Multiple Aperture Interferometry - Test Case Over the Roi Baudouin Ice Shelf, East Antarctica","authors":"M. Kirkove, Quentin Glaude, D. Derauw, C. Barbier, F. Pattyn, A. Orban","doi":"10.1109/IGARSS47720.2021.9553522","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9553522","url":null,"abstract":"As an extension of Synthetic Aperture Radar Interferometry, Multiple Aperture Radar (MAI) is a spectral diversity technique that allows the determination of azimuth displacements from phase shift measurements. This is made possible through the creation of backward- and forward-looking Single-Look-Complex (SLC) data. Then, the phase difference between the backward and forward-looking interferogram is translated into a displacement. Using SLC data, MAI requires a proper azimuth splitband operator. Different techniques exist to split the azimuth band, but they are often too briefly described in the MAI literature. In this conference paper, we analyze the signal properties of the Sentinel-1 TOPS acquisition mode and define an azimuth subbanding protocol. In particular, we look at the role of de-apodization and apodization in the band filtering operation. We focus our analysis on Sentinel-1 data in Interferometric Wideswath mode over the Roi Baudouin Ice Shelf, East Antarctica.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123295717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generation of Large Scale 3-D City Models Using Insar and Optical Data 利用Insar和光学数据生成大比例尺三维城市模型
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9553691
Yilei Shi, R. Bamler, Yuanyuan Wang, Xiao Xiang Zhu
{"title":"Generation of Large Scale 3-D City Models Using Insar and Optical Data","authors":"Yilei Shi, R. Bamler, Yuanyuan Wang, Xiao Xiang Zhu","doi":"10.1109/IGARSS47720.2021.9553691","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9553691","url":null,"abstract":"Interferometric synthetic aperture radar (InSAR) techniques are powerful tool for reconstructing the 3-D position of scatterers, especially for the urban areas. Since the estimation accuracy depends on the inverse of number of interferograms and signal-to-noise ratio (SNR), it is necessary to use as many as possible interferograms in order to achieve more accurate result. However, the number of interferograms of TanDEM-X data is generally limited for most areas. Therefore, in order to maintain the estimation accuracy, one feasible way is to increase the SNR. In this work, we proposed a novel framework, which integrates the non-local procedure into SAR tomography inversion and combines the robust estimation. A large-scale demonstration has been carried out with five TanDEM-X bistatic data, which covers the entire city of Munich, Germany. Quantitative evaluation of the reconstructed result with the LiDAR reference exhibits the standard deviation of the height difference is within two meters, which implies the proposed framework has great potential for high quality large-scale 3-D urban modeling.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123543530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integration of DMRT and SNOWPACK Models for Simulating Backscattering and Comparison with COSMO-SkyMed Data DMRT和SNOWPACK模型的后向散射模拟及其与cosmos - skymed数据的比较
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9553107
F. Baroni, S. Pilia, A. Lapini, S. Paloscia, S. Pettinato, E. Santi, L. Santurri, M. Valt
{"title":"Integration of DMRT and SNOWPACK Models for Simulating Backscattering and Comparison with COSMO-SkyMed Data","authors":"F. Baroni, S. Pilia, A. Lapini, S. Paloscia, S. Pettinato, E. Santi, L. Santurri, M. Valt","doi":"10.1109/IGARSS47720.2021.9553107","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9553107","url":null,"abstract":"In this paper the integration between the Dense Media Radiative Transfer (DMRT-QMS) model and the SNOWPACK model was investigated in order to simulate snow parameters and the backscattering at X band (9.6 GHz) from nivo-meteorological data. The role of the stickiness parameter ($tau$) in DMRT-QMS was analyzed by using experimental data of backscattering collected from COSMO-SkyMed (CSK) and snow data generated by SNOWPACK. The relationships between $tau$ and both ice volume fraction ($phi$) and coordination number ($n_{c}$) were assessed. The DMRT and SNOWPACK simulations were compared with CSK backscattering measurements showing a significant agreement, although for a limited dataset.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125445237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Polygonal Partition-Based Hyperspectral Image Classification with Single Labeled Sample 基于多边形分割的单标记高光谱图像分类
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9553067
Shuo Zhang, Xiaohui Wei, Xudong Kang, Puhong Duan, Shutao Li
{"title":"Polygonal Partition-Based Hyperspectral Image Classification with Single Labeled Sample","authors":"Shuo Zhang, Xiaohui Wei, Xudong Kang, Puhong Duan, Shutao Li","doi":"10.1109/IGARSS47720.2021.9553067","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9553067","url":null,"abstract":"It is well known that classification accuracy highly relies on the number of labeled samples. However, it is difficult to obtain sufficient labeled samples in real-world applications. To solve this issue, a novel hyperspectral image (HSI) classification method based on polygonal partition is proposed for crop mapping. This method only needs single sample per class as an initial training set. Specifically, multiscale polygonal partition is applied on the first three components of the HSI. Then, a spectral similarity-based sample expansion method is proposed to obtain more labeled samples. Next, a pixel-wise classifier, the support vector machine (SVM), is used to acquire an initial classification result. Finally, classification result is further optimized according to the partition maps. Experimental results show that classification performance of the proposed method is satisfactory even when the number of labeled sample is single for each class.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126623618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Solving Global Cirrus Cloud Top-of-the-Atmosphere Radiative Forcing from Satellite Lidar 利用卫星激光雷达解决全球卷云的大气顶部辐射强迫问题
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9553608
J. Campbell, E. Dolinar, A. Garnier, J. Marquis, T. M. McHardy, P. Yang, J. Lewis, E. Welton
{"title":"Solving Global Cirrus Cloud Top-of-the-Atmosphere Radiative Forcing from Satellite Lidar","authors":"J. Campbell, E. Dolinar, A. Garnier, J. Marquis, T. M. McHardy, P. Yang, J. Lewis, E. Welton","doi":"10.1109/IGARSS47720.2021.9553608","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9553608","url":null,"abstract":"We estimate top-of-the-atmosphere (TOA) cirrus cloud radiative forcing from satellite lidar observations. We describe the technical innovations necessary to conduct this experiment. Specifically, we highlight advances in broadband radiative transfer modeling, and the optical and physical parameterizations necessary to run them. We present two years of results, across two decades (2008 vs. 2018), highlighting seasonal and annual differences. The goal of this endeavor is to standardize mechanics for transitioning this work to operational Level 2 ground and satellite lidar products moving forward. However, the unique TOA forcing characteristics of cirrus clouds are also discussed, including specifically daytime characteristics than can oscillate between warming and cooling regionally.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126624034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Novel Baseband Doppler Centroid Frequency Estimation Method in Multichannel HRWS-SAR System 多通道HRWS-SAR系统中一种新的基带多普勒质心频率估计方法
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9553973
He Huang, Penghui Huang, Jialian Sheng, Y. Deng, Huaitao Fan, Zhicheng Wang, Xingzhao Liu
{"title":"A Novel Baseband Doppler Centroid Frequency Estimation Method in Multichannel HRWS-SAR System","authors":"He Huang, Penghui Huang, Jialian Sheng, Y. Deng, Huaitao Fan, Zhicheng Wang, Xingzhao Liu","doi":"10.1109/IGARSS47720.2021.9553973","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9553973","url":null,"abstract":"The azimuth multichannel spaceborne SAR system can achieve the high-resolution and wide-swath simultaneously. In a high-resolution and wide swath (HRWS) SAR system, the Doppler centroid (DC) frequency estimation is an important step for Doppler ambiguity signal reconstruction, which should be precisely estimated. In this paper, we propose a novel Doppler centroid frequency estimation method for HRWS-SAR system based on modified shuffled frog leafing algorithm (MSFLA). Firstly, the cost function is designed based on the average power difference between ambiguities and useful signal. Then, the MLSFA algorithm is proposed to accomplish the DC estimation. Finally, a good HRWS-SAR image is obtained based on the estimated DC. Compared with the traditional time-domain based DC estimation methods, the proposed method is not affected by the troubled cross-terms induced by high-order moments. The effectiveness of the proposed method is verified by the simulation experiments and real-measured SAR data.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126638279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Multi-Observable Wind Speed Retrieval Based on Spaceborne GNSS-R Delay Doppler Maps 基于星载GNSS-R延迟多普勒地图的多观测风速检索
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9555133
Jinwei Bu, Kegen Yu, Shuai Han, Changyang Wang
{"title":"Multi-Observable Wind Speed Retrieval Based on Spaceborne GNSS-R Delay Doppler Maps","authors":"Jinwei Bu, Kegen Yu, Shuai Han, Changyang Wang","doi":"10.1109/IGARSS47720.2021.9555133","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9555133","url":null,"abstract":"This paper mainly studies the inversion of sea surface wind speed based on spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) data. Delayed Doppler Map (DDM) is one of the most important data acquired by GNSS-R receivers. We make use of four DDM-based observations (DDM average (DDMA), signal-to-noise ratio (SNR), leading edge slope (LES) of Integrated Delay Waveform (IDW) and Normalized Bistatic Radar Cross Section (NBRCS)) to retrieve sea surface wind speed. We first propose a data filtering method based on the LES of IDW for data quality control. This method selects high -quality DDM data by adjusting LES threshold. Then, four wind speed inversion models are developed by using the four observations calculated from the clean DDM data. On this basis, five more wind speed inversion models are developed by using five weighted combinations of the four individual models. The nine models are tested and the results show that the wind speed estimation accuracy of the combined DDMA+NBRCS+SNR+LES model is respectively improved by 23.53%, 13.90%, 25.06% and 14.70% compared with the individual models of DDMA, SNR, LES, and NBRCS in the wind speed range of 0–20 m/s. Also, compared with dual combinations (DDMA+SNR, DDMA+NBRCS, and SNR+NBRCS), the accuracy of triple combination of DDMA+NBRCS+SNR is improved by 3.45%, 11.38%, 9.14% and 1.46%, respectively.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126657891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Video SAR Ground Moving Target Indication Based on Multi-Target Tracking Neural Network 基于多目标跟踪神经网络的视频SAR地面运动目标指示
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9554763
Wei Wang, Yao Hu, Zongyou Zou, Yuanyuan Zhou, Chen Wang, Jun Shi, Xiaoling Zhang
{"title":"Video SAR Ground Moving Target Indication Based on Multi-Target Tracking Neural Network","authors":"Wei Wang, Yao Hu, Zongyou Zou, Yuanyuan Zhou, Chen Wang, Jun Shi, Xiaoling Zhang","doi":"10.1109/IGARSS47720.2021.9554763","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9554763","url":null,"abstract":"Shadows of ground moving targets in video synthetic aperture radar (SAR) has been found very useful in ground moving target indication (GMTI) for they can indicate the real positions of moving targets at different times, which is significant for SAR reconnaissance and surveillance. However, nearly all the shadow-based SAR GMTI methods only focused on detecting shadows in every separate frame and failed to make full use of the continuous observation ability of video SAR. In this paper, we propose to apply a deep learning-based multi-target tracking method to solve this problem and find that the FairMOT network which jointly detects and re-identifies objects in sequential frames is suitable for this task. To verify its performance, video SAR datasets that contain shadows of ground moving targets are obtained by simulation. The experiments on the simulation datasets show that the introduced network in this work can achieve a state-of-the-art result, for instance, the multiple object tracking accuracy (MOTA) can reach 83.4%.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126834201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Surface-Downhole Joint Real-Time Microseismic Monitoring System: A Case Study in a Coalmine Located in Sichuan Basin, China 地面-井下联合实时微震监测系统——以四川盆地某煤矿为例
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Pub Date : 2021-07-11 DOI: 10.1109/IGARSS47720.2021.9553186
Zhiqiang Lan, Yaojun Wang, Peng Wang, Peng Gao, Jiandong Liang
{"title":"Surface-Downhole Joint Real-Time Microseismic Monitoring System: A Case Study in a Coalmine Located in Sichuan Basin, China","authors":"Zhiqiang Lan, Yaojun Wang, Peng Wang, Peng Gao, Jiandong Liang","doi":"10.1109/IGARSS47720.2021.9553186","DOIUrl":"https://doi.org/10.1109/IGARSS47720.2021.9553186","url":null,"abstract":"Joint monitoring is more potent than conventional micro-seismic(MS) monitoring in understanding underground processes. With simultaneous observations from the surface and downhole, joint monitoring has shown its advantages in disaster early-warning in tunneling and mining, station deployment. However, in Sichuan Basin, China, due to the complex environment, it is intuitively more difficult to transport, install, and maintain stations on the surface. Thus, we have developed a new joint monitoring system for real-time and long-term MS observations based on novel self-developed stations. First, we developed a novel lightweight wireless MS sensor with flexible support of power supply from the battery, solar power, even alternating current for surface monitoring. Second, we also developed a wired station powered by the electricity network in the downhole for underground observation. Finally, a case study in a coal mine located in Sichuan Basin was undertaken. The result illustrates advantages of our joint monitoring system in deployment, real- and long-time joint observation.","PeriodicalId":315312,"journal":{"name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126930597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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