IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium最新文献_第8页

Snow Grain Size Estimates from Airborne Ka-Band Radar Measurements 从机载ka波段雷达测量估计雪粒大小

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9324062

Jilu Li, B. Camps-Raga, F. Rodríguez‐Morales, D. Gomez-Garcia, J. Paden, C. Leuschen

{"title":"Snow Grain Size Estimates from Airborne Ka-Band Radar Measurements","authors":"Jilu Li, B. Camps-Raga, F. Rodríguez‐Morales, D. Gomez-Garcia, J. Paden, C. Leuschen","doi":"10.1109/IGARSS39084.2020.9324062","DOIUrl":"https://doi.org/10.1109/IGARSS39084.2020.9324062","url":null,"abstract":"We designed a Ka-band prototype radar altimeter operated at a center frequency of 35 GHz with a 6 GHz bandwidth. The instrument was intended for fine-resolution verification and validation of space borne altimetry datasets. We installed it onboard the NASA C-130 aircraft in conjunction with two other wideband microwave instruments and collected airborne altimetry data over Greenland land ice and arctic sea ice during the 2015 NASA Operation IceBridge arctic campaign. Apart from the major application of verification and calibration of satellite-based measurements, data from this instrument can be used to derive snow grain size because of the dominant effect of volume scattering in radar signatures. In this paper, we briefly describe the system design and the installation on the NASA C-130, discuss the observed penetration depths of Ka-band signals into the snowpack, present sample results of optical-equivalent snow grain size estimates from radar measurements over the dry snow zone using a simplified snowpack model. We show that the observed penetration depths and the snow grain size estimates from the airborne Ka-band radar retrievals agree well with the model and in-situ snow-pit measurements.","PeriodicalId":444267,"journal":{"name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128237000","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

Synergic Use of SAR And Optical Data for Estimation of Soil Moisture in Vegetative Region 利用SAR和光学数据协同估算植被区土壤水分

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9323753

Nidhi Verma, P. Mishra, N. Purohit

引用次数: 0

GNSS Reflectometry from Smartphones: Testing Performance of In-Built Antennas and GNSS Chips 智能手机的GNSS反射测量:内置天线和GNSS芯片的测试性能

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9324124

M. Kurum, A. Gürbüz, M. Farhad

{"title":"GNSS Reflectometry from Smartphones: Testing Performance of In-Built Antennas and GNSS Chips","authors":"M. Kurum, A. Gürbüz, M. Farhad","doi":"10.1109/IGARSS39084.2020.9324124","DOIUrl":"https://doi.org/10.1109/IGARSS39084.2020.9324124","url":null,"abstract":"Raw Global Navigation Satellites Systems (GNSS) data have been directly accessible from mass-market devices running the Android Nougat (or newer) operating system since late 2016. The availability of GNSS raw data made possible to investigate feasibility of using in-built GNSS chipsets within smartphone devices as passive radar receivers for the purpose of land remote sensing. In this study, we integrate smart-phones into small Unmanned Aircraft Systems (UAS) to collect reflected GNSS raw data for the purpose of mapping top 5-cm soil moisture. The reflected GNSS signals collected by the smartphones show high correlation with spatial features on the ground such as ponds, crops, and small creeks. To determine the quality of smartphone in-built antenna and chipset, we conducted several experiments. The results show that (1) the radiation pattern of smartphone's GNSS antenna are observed to be highly irregular, but time-invariant, and (2) internal GNSS chip produces observables of sufficient quality when the GNSS smartphone reflected signals are compared with a high quality custom-built dual channel receiver. This paper summarizes the experimental findings and challenges that need to be resolved in order to use the GNSS-Reflectometry (GNSS-R) technique via ubiquitous smartphones from small UASs.","PeriodicalId":444267,"journal":{"name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128573303","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: 5

Radiometric Issues in Biomass Tomographic Imaging 生物质层析成像中的放射学问题

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9323448

M. M. d'Alessandro, S. Tebaldini

引用次数: 0

Railroad Valley Radiometric Calibration Test Site (RadCaTS) as Part of a Global Radiometric Calibration Network (RadCalNet) 铁路谷辐射校正测试站(RadCaTS)作为全球辐射校正网络(RadCalNet)的一部分

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9323665

J. Czapla-Myers, K. Thome, B. Wenny, N. Anderson

引用次数: 3

An Interferometric W-BAND Radar for Large Structures Monitoring 用于大型结构物监测的干涉w波段雷达

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9324004

M. Pieraccini, L. Miccinesi, F. Morini

引用次数: 1

Wideband Interference Suppression for SAR by Time-Frequency-Pulse Joint Domain Processing 基于时频脉冲联合域处理的SAR宽带干扰抑制

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9323259

Jia Su, Haojiang Li, Mingliang Tao, Yifei Fan, Ling Wang, H. Tao

{"title":"Wideband Interference Suppression for SAR by Time-Frequency-Pulse Joint Domain Processing","authors":"Jia Su, Haojiang Li, Mingliang Tao, Yifei Fan, Ling Wang, H. Tao","doi":"10.1109/IGARSS39084.2020.9323259","DOIUrl":"https://doi.org/10.1109/IGARSS39084.2020.9323259","url":null,"abstract":"Wide-band interference (WBI) is a critical issue for synthetic aperture radar (SAR), which may severely affect the imaging quality of SAR systems. To suppress WBI effectively, a novel interference suppression algorithm based on robust principal component analysis (RPCA) in time-frequency-pulse (TF-P) domain is proposed. For SAR echoes in TF-P domain, there are two useful properties: 1) The TF characteristic of useful signal in adjacent pulse are similar, indicating that useful signal has low-rank property; 2) Due to its variation of position and sparsely distrusted in TF-P domain, WBI has sparse characteristic. According to these properties, RPCA method is applied to decompose the TF-P matrix into a low-rank matrix (i.e. useful signal) and a sparse matrix (i.e. WBI). Finally, the WBIs can be reconstructed and subtracted from the echoes to realize the interference suppression. The experimental results of simulated data demonstrate that the proposed algorithm not only can suppress interference effectively, but also preserve the useful information as much as possible.","PeriodicalId":444267,"journal":{"name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129142092","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

A Fuel Moisture Content Monitoring Methodology Based on Optical Remote Sensing 一种基于光学遥感的燃料水分监测方法

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9323353

Fan Li, Yuxia Li, Cunjie Zhang, Yuan Cheng, Yuzhen Li, Lei He

{"title":"A Fuel Moisture Content Monitoring Methodology Based on Optical Remote Sensing","authors":"Fan Li, Yuxia Li, Cunjie Zhang, Yuan Cheng, Yuzhen Li, Lei He","doi":"10.1109/IGARSS39084.2020.9323353","DOIUrl":"https://doi.org/10.1109/IGARSS39084.2020.9323353","url":null,"abstract":"Quickly and accurately obtaining fuel moisture content information is of great significance for diagnosing vegetation growth, improving agricultural irrigation efficiency, guiding agricultural production, monitoring the drought conditions of natural communities, and forecasting forest fires. Used the measured fuel moisture content in the southern California sample points and various vegetation indices extracted from MODIS remote sensing satellite images as the dataset for the fuel moisture content retrieving model. In this study, three machine learning methods‐‐extreme learning machine (ELM), gradient boosting decision tree (GBDT), and extreme gradient boosting (XGBoost) were used for the fuel moisture content retrieving model. The results show that these three methods can achieve better accuracy than the traditional machine learning method support vector machine (SVM). The experimental results show that the XGBoost is able to achieve an acceptable accuracy, the average root mean squared error (RMSE), mean absolute error (MAE) and coefficient of correlation (R) were 0.1552, 0.1243, and 0.7423 respectively, which is much better than the other models.","PeriodicalId":444267,"journal":{"name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129327217","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

Drone Image Stitching Using Local Least Square Alignment 无人机图像拼接使用局部最小二乘对齐

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9323873

Qi Wan, Linbo Luo, Jun Chen, Yong Wang, Donghai Guo

{"title":"Drone Image Stitching Using Local Least Square Alignment","authors":"Qi Wan, Linbo Luo, Jun Chen, Yong Wang, Donghai Guo","doi":"10.1109/IGARSS39084.2020.9323873","DOIUrl":"https://doi.org/10.1109/IGARSS39084.2020.9323873","url":null,"abstract":"This paper proposes a strategy for drone image stitching using local least square alignment, which aims to effectively stitch multiple overlapping drone images into a natural panoramic image. Existing traditional methods using simple homography cannot handle the situation that the input drone images have parallax effect, and the mosaic result always suffers from artifacts. In order to achieve natural-looking stitching results without the above limitation, we divide the proposed method into the following two steps, namely, local least square alignment and global similarity constraint. Starting from initial feature sets obtained by traditional feature extraction methods, we construct a robust alignment energy based on parallax errors to adaptively eliminate parallax effects. The energy can be efficiently minimized used least square estimate. Combined with global similarity constraint, our proposed strategy can flexibly improve the naturalness of the results. Experiments show that our stitching strategy can more effectively eliminate parallax effects and achieve natural-looking results compared to other state-of-the-art methods.","PeriodicalId":444267,"journal":{"name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124605651","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

Infinite Number of Looks Prediction in Polsar Filtering by Linear Regression 基于线性回归的极sar滤波的无限数look预测

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Pub Date : 2020-09-26 DOI: 10.1109/IGARSS39084.2020.9323632

M. Yahia, Tarig Ali, M. Mortula, R. Abdelfattah, S. Elmahdy

引用次数: 1