2014 IEEE Geoscience and Remote Sensing Symposium最新文献_第7页

Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights 基于学习插值权值的单传感器多光谱图像去马赛克算法

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946857

H. Aggarwal, A. Majumdar

引用次数: 25

A novel beam direction determination method for minimizing Doppler centroid in GEO SAR 一种新的GEO SAR波束方向确定方法

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946514

Y. Wu, Guangcai Sun, Jun Yang, Jianlai Chen, M. Xing

引用次数: 2

Soil moisture retrieval over grassland using X-band SAR data 基于x波段SAR数据的草地土壤水分反演

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947271

M. El-Hajj, N. Baghdadi, G. Belaud, M. Zribi, B. Cheviron, D. Courault, F. Charron

{"title":"Soil moisture retrieval over grassland using X-band SAR data","authors":"M. El-Hajj, N. Baghdadi, G. Belaud, M. Zribi, B. Cheviron, D. Courault, F. Charron","doi":"10.1109/IGARSS.2014.6947271","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947271","url":null,"abstract":"The objective of this study was to analyze the sensitivity of radar signal in X-band to irrigated grassland soil conditions. Time series of radar (TerraSAR-X and Cosmo-SkyMed) images were acquired at a high temporal frequency in 2013 over a small agricultural region in South Eastern France. Simultaneously to satellite data acquisitions, ground measurements were conducted during several growing cycles of the grassland in order to monitor evolution in soil and vegetation characteristics. Results show that radar signal is clearly dependent on the soil moisture with a higher sensitivity to soil moisture for biomass lower than 1 kg/m2. HH and HV polarizations showed almost similar sensitivity to soil moisture. The penetration depth of the radar wave in X-band was high even for dense and high vegetation: flooded areas were clearly visible on the images with higher detection potential in HH polarization than in HV polarization even for vegetation heights reaching 1 m. These results showed that it is possible to track gravity irrigation and soil moisture variation from SAR X-band images acquired at high spatial resolution and medium incidence angle.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122604349","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: 2

An evaluation of DMRT-ML for AMSR2 estimates of snow depth DMRT-ML对AMSR2雪深估计的评价

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946840

N. Saberi, R. Kelly

{"title":"An evaluation of DMRT-ML for AMSR2 estimates of snow depth","authors":"N. Saberi, R. Kelly","doi":"10.1109/IGARSS.2014.6946840","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946840","url":null,"abstract":"Modeling the physical state of a snowpack is widely recognized as a challenging aspect in the snowpack physical properties retrieval using passive microwave remote sensing. The Advanced Microwave Scanning Radiometer 2 (AMSR2) launched on JAXAs Global Change Observation Mission Water in 2012 with 10-15 years mission, continues observation record of Earth from space. The SWE product for AMSR2 is being developed as a satellite-based retrieval system that relies on static ancillary datasets to parameterize land surface properties that initialize retrievals. In this research, Dense Media Radiative Transfer Theory for Multi Layered (DMRT-ML) snowpack, a physically based numerical model, is employed [1]. The model is based on the Dense Media Radiative Transfer (DMRT) theory for snow scattering and extinction coefficients computation and uses Discrete Ordinate Method to numerically solve the radiative transfer equation. Using DMRT-ML assumptions, the application of the DMRT-ML model to the February 2013 snowstorm in southern Ontario to the Eastern seaboard of USA as well as Canada wide stations in December 2013 and January 2014 are explored. To supply DMRT input variables, Canadian Meteorological Center (CMC) daily snow depth, analysis snow depth product, and AMSR2 brightness temperature have been used. AMSR2 data has been utilized for surface physical temperature estimation. Using forward DMRT simulation for one layer snowpack, model sensitivity to snowpack grain size via AMSR2 observations is studied. This provides insight into the inversion look-up table matrix that is being developed using DMRT-ML for AMSR2 SWE retrievals.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122628864","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

Above ground biomass (AGB) product using GCOM-C1 地上生物量(AGB)产品使用GCOM-C1

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946366

Y. Honda, K. Kajiwara, Yusaku Ono, Rostand Dim

{"title":"Above ground biomass (AGB) product using GCOM-C1","authors":"Y. Honda, K. Kajiwara, Yusaku Ono, Rostand Dim","doi":"10.1109/IGARSS.2014.6946366","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946366","url":null,"abstract":"Japan Aerospace Exploration Agency (JAXA) is going to launch new Earth observation satellite GCOM-C1 in 2016. The core sensor of GCOM-C1, Second Generation Global Imager (SGLI) has a set of along track slant viewing Visible and Near Infrared Radiometer (VNR). These multi-angular views aim to detect the structural information from vegetation canopy, especially forest canopy, for estimating productivity of the vegetation. SGLI Land science team has been developing the algorithm for above ground biomass, canopy roughness index, shadow index, etc. In this paper, we introduce the ground observation method developed by using Unmanned Aerial Vehicle (UAV) in order to contribute the algorithm development and its validation. Mainly, multi-angular spectral observation method and simple BRF model have been developed for estimating slant view response of forest canopy. The BRF model developed by using multi-angular measurement has been able to obtain structural information from canopy. In addition, we have conducted some observation campaigns on typical forest in Japan in collaboration with other science team experienced with vegetation phenology and carbon flux measurement. Primary results of these observations are also be demonstrated.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114132828","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: 2

Effective hyperspectral image block compressed sensing using thress-dimensional wavelet transform 基于三维小波变换的高光谱图像块压缩感知方法

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947101

Ying Hou, Yanning Zhang

引用次数: 8

A novel approach toward rapid road mapping based on beamlet transform 一种基于波束变换的快速道路测绘新方法

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946943

M. O. Sghaier, Idrissa Coulibaly, R. Lepage

引用次数: 8

Automatic linear disturbance footprint mapping in Alberta, Canada based on dense time-series Landsat imagery 基于密集时间序列Landsat图像的加拿大阿尔伯塔省自动线性扰动足迹映射

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947413

Zhaohua Chen, Bill Jefferies, P. Adlakha, B. Salehi, D. Power

引用次数: 1

Quantitative analysis of Faraday rotation impacts on image formation of spaceborne VHF/UHF-SAR 法拉第旋转对星载VHF/UHF-SAR成像影响的定量分析

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946510

Wei Guo, Jie Chen, Zhuo Li

引用次数: 1

Using existing large-area land-cover maps to classify spatially high resolution images 利用现有大面积土地覆盖图对空间高分辨率图像进行分类

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947545

Peter Kennedy, Jinkai Zhang, K. Staenz, C. Coburn

引用次数: 0