2014 IEEE Geoscience and Remote Sensing Symposium最新文献_第4页

Analogy based similarity mining for geo-ontology matching 基于类比的地质本体匹配相似度挖掘

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947491

Ujwala Bharambe, S. Durbha

引用次数: 1

Method to speed up LUT-based crop canopy parameter mapping 基于lut的作物冠层参数快速映射方法

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946874

Yingying Dong, Jinkai Zhang, Zhijie Wang, K. Staenz, C. Coburn, W. Xu, Xiaodong Yang, Jihua Wang

引用次数: 1

Research on accuracy assessment of urban rainfall spatial interpolation from gauges data 基于实测数据的城市降水空间插值精度评价研究

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947138

Changfeng Jing, Mingyi Du, Peipei Dai, Haiyang Wei, Hui Liu

引用次数: 3

Implementation of a new automatic stratification method using geospatial cropland data layers in NASS area frame construction 基于地理空间耕地数据层的自动分层新方法在NASS区域框架构建中的实现

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946882

C. Boryan, Zhengwei Yang

引用次数: 7

Quality assurance plan for China collection 2.0 aerosol datasets 中国收集2.0气溶胶数据集的质量保证计划

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947404

L. She, Yong Xue, J. Guang, Xingwei He, Chi Li

{"title":"Quality assurance plan for China collection 2.0 aerosol datasets","authors":"L. She, Yong Xue, J. Guang, Xingwei He, Chi Li","doi":"10.1109/IGARSS.2014.6947404","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947404","url":null,"abstract":"The inversion of atmospheric aerosol optical depth (AOD) using satellite data has always been a challenge topic in atmospheric research. In order to solve the aerosol retrieval problem over bright land surface, the Synergetic Retrieval of Aerosol Properties (SRAP) algorithm has been developed based on the synergetic using of the MODIS data of TERRA and AQUA satellites [1, 2]. In this paper we describe, in details, the quality assessment or quality assurance (QA) plan for AOD products derived using the SRAP algorithm. The pixel-based QA plan is to give a QA flag to every step of the process in the AOD retrieval. The quality assessment procedures include three common aspects: 1) input data resource flags, 2) retrieval processing flags, 3) product quality flags [3]. Besides, all AOD products are assigned a QA `confidence' flag (QAC) that represents the aggregation of all the individual QA flags. This QAC value ranges from 3 to 0, with QA = 3 indicating the retrievals of highest confidence and QA = 2/QA = 1 progressively lower confidence [4], and 0 means `bad' quality. These QA (QAC) flags indicate how the particular retrieval process should be considered. It is also used as a filter for expected quantitative value of the retrieval, or to provide weighting for aggregating/averaging computations [5]. All of the QA flags are stored as a \"bit flag\" scientific dataset array in which QA flags of each step are stored in particular bit positions.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"67 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":"127095697","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

Joint SAR image compression and coherent change detection 联合SAR图像压缩与相干变化检测

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946343

Miriam Cha, Myra Nam, K. Geyer

{"title":"Joint SAR image compression and coherent change detection","authors":"Miriam Cha, Myra Nam, K. Geyer","doi":"10.1109/IGARSS.2014.6946343","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946343","url":null,"abstract":"Fine details revealed by synthetic aperture radar (SAR) coherent change detection (CCD), such as foot prints, require SAR imagery with both high resolution and precision. These large data requirements are at odds with the low bandwidths often available for SAR change detection systems such as those that utilize small unmanned aerial vehicles (UAVs). Here we investigate the interplay between SAR data compression and SAR CCD performance. As the data are compressed further, the ability to detect changes decreases. However, there is redundant information contained in SAR imagery that is not necessary for change detection, and removing it makes SAR compression possible. In this paper, we introduce a new model-based compression method that leverages the known distribution of SAR data for a compact storage, while improving change detection performance. We show experimentally that the CCD using the decompressed SAR pair after our proposed method not only yields significant improvement in change detection over the CCD using the decompressed SAR after block adaptive quantization (BAQ) method, but also over the CCD using the original SAR data. Experimental results are presented to show the effectiveness and robustness of the proposed algorithm for SAR compression and change detection.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"271 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":"127376873","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

Research of methane emissions of the wetlands with backscattering properties 具有后向散射特性的湿地甲烷排放研究

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947398

Longfei Tan, Yan Chen, L. Tong, Mingquan Jia

引用次数: 1

Assessing the potential of satellite and ground spectral data for Chlorophyll-a monitoring in Lake Kasumigaura, Japan 卫星和地面光谱数据在日本霞光环湖叶绿素-a监测中的潜力评估

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947198

D. Dahanayaka, H. Tonooka, M. Wijeyaratne, A. Minato, S. Ozawa

引用次数: 1

A novel concept of plane grid resolution for high-resolution SAR imaging systems 高分辨率SAR成像系统中平面网格分辨率的新概念

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946432

Xin Lin, Tingting Liu, Kaizhi Wang, Xingzhao Liu

{"title":"A novel concept of plane grid resolution for high-resolution SAR imaging systems","authors":"Xin Lin, Tingting Liu, Kaizhi Wang, Xingzhao Liu","doi":"10.1109/IGARSS.2014.6946432","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946432","url":null,"abstract":"Synthetic aperture radar (SAR) is an active microwave sensor which is able to produce high-resolution images with day and night capability. Traditionally, the image quality assessment of the SAR system is described by the response function of an isolated point target. However, some man-made targets which are placed together can not be distinguished clearly. As the point target has the characteristic of the isotropic scattering, the retrieval capability for target structure details and contours by using the point target assessment method cannot be assessed accurately in a practical scene. In this paper, a new image quality assessment method (especially for plane targets) is proposed to solve this problem. The definitions of the plane grid and the plane grid resolution are given to support. After giving the scene construction of the Test Field used for measuring the plane grid resolution (PGR), a corresponding algorithm is also proposed. Experiment results show that the proposed assessment method describes the SAR image quality for man-made targets more accurate than the traditional assessment method in a practical scene.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"31 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":"126157914","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

Estimating of the total atmospheric precipitable water vapor amount from the Chinese new generation polar orbit FengYun meteorological satellite (FY-3) data 中国新一代极地轨道风云气象卫星(FY-3)资料估算大气可降水量

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947115

Shuo Peng, B. Tang, Hua Wu, R. Tang, Z. Li

引用次数: 2