2014 IEEE Geoscience and Remote Sensing Symposium最新文献_第8页

Land degradation assessment by applying relative rue in Inner Mongolia, China, 2001–2010 2001-2010年内蒙古土地退化评价

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946709

Zhihai Gao, Bin Sun, G. Barrio, Xiaosong Li, Hongyan Wang, L. Bai, Bengyu Wang, Wangfei Zhang

引用次数: 4

Retrieval of 2-D tropospheric water vapour fields by using a constellation of co-rotating LEO satellites 利用同向旋转LEO卫星星座反演对流层二维水汽场

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947617

A. Lapini, F. Cuccoli, F. Argenti, L. Facheris

引用次数: 0

Pan-sharpening: Use of difference of Gaussians 泛锐化:高斯差分的使用

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947599

Kishor P. Upla, M. Joshi, P. Gajjar

{"title":"Pan-sharpening: Use of difference of Gaussians","authors":"Kishor P. Upla, M. Joshi, P. Gajjar","doi":"10.1109/IGARSS.2014.6947599","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947599","url":null,"abstract":"In this paper, we propose a fast method for pan-sharpening based on difference of Gaussians (DoGs). The Panchromatic (Pan) and the multi-spectral (MS) images are used to obtain a pan-sharpened image having both high spectral and spatial resolutions. The method is based on two level DoG on the Pan image. First, the Pan image is convolved with Gaussian kernel to obtain a blurred version and the high frequency details are extracted as the first level DoGs by subtracting the blurred image from the original. In order to get the second level DoG, same steps are repeated on the blurred Pan image. The extracted details at both DoGs are added to MS image to obtain the final pan-sharpened image. Experiments have been conducted with different values of standard deviation of Gaussian blur with images captured from different satellite sensors such as Ikonos-2, Quickbird and Worlview-2. A relatively new quality measure with no reference (QNR) index along with the other traditional measures are evaluated to check the efficacy of the proposed algorithm. The subjective and the quantitative assessment show that the proposed technique performs better, fast and less complex when compared to recently proposed state of the art techniques.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"5 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":"122000550","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

WCOM: The science scenario and objectives of a global water cycle observation mission WCOM:全球水循环观测任务的科学设想和目标

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947273

Jiancheng Shi, Xiaolong Dong, T. Zhao, Jinyang Du, Lingmei Jiang, Yang Du, Hao Liu, Zhenzhan Wang, Dabin Ji, C. Xiong

引用次数: 52

Ship detection in SAR medium resolution imagery for maritime surveillance: Algorithm validation using AIS data 用于海上监视的SAR中分辨率图像中的船舶检测:使用AIS数据的算法验证

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947284

R. Pelich, N. Longépé, G. Mercier, G. Hajduch, R. Garello

引用次数: 7

Flood mapping by SAR: Possible approaches to mitigate errors due to ambiguous radar signatures 由SAR绘制洪水图:可能的方法来减轻由于雷达信号不明确造成的误差

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947324

N. Pierdicca, L. Pulvirenti, M. Chini, G. Boni, Giuseppe Squicciarino, L. Candela

{"title":"Flood mapping by SAR: Possible approaches to mitigate errors due to ambiguous radar signatures","authors":"N. Pierdicca, L. Pulvirenti, M. Chini, G. Boni, Giuseppe Squicciarino, L. Candela","doi":"10.1109/IGARSS.2014.6947324","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947324","url":null,"abstract":"The latest generation of synthetic aperture radar (SAR) systems allows providing emergency managers with near real time flood maps characterized by a very high spatial resolution. Near real time flood detection algorithms generally search for regions of low backscatter, thus assuming that floodwater appears dark in a SAR image. It is well known that this assumption is not always valid. For instance, in urban areas, the double bounce backscattering involving ground and vertical walls produce high radar return that can be further increased by the presence of the highly reflective floodwater. In addition, even mapping bare or scarcely vegetated inundated terrains, or crops totally submerged by water can turn out to be a difficult task. In fact, in the presence of significant wind that roughens the water surface, floodwater can appear bright in SAR images. This paper proposes possible strategies to cope with flood mapping using SAR data in urban areas and in the presence of significant wind. In particular, the use of the interferometric coherence for floodwater detection in urban areas and the use of an electromagnetic model able to simulate the radar return from shallow water as function of the wind field are proposed.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"34 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":"116812079","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: 13

Multiple endmember spectral unmixing within a multi-task framework 多任务框架内的多端元光谱解混

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947225

Tatsumi Uezato, R. Murphy, A. Melkumyan, A. Chlingaryan, S. Schneider

引用次数: 6

Decadal changes in the type and extent of Wetlands in Alaska using L-band SAR data — A preliminary analysis 基于l波段SAR数据的阿拉斯加湿地类型和范围的年代际变化——初步分析

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947323

D. Clewley, J. Whitcomb, M. Moghaddam, K. McDonald, P. Bunting

引用次数: 1

Thirsty thermal infrared spatial system 渴热红外空间系统

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947113

Philippe Crébassol, J. Lagouarde, S. Hook

引用次数: 15

Integrated approach for effective permittivity estimation of multi-layered soils at L-Band 多层土壤l波段有效介电常数估算的综合方法

2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947162

F. Demontoux, F. Jonard, S. Bircher, S. Razafindratsima, M. Schwank, J. Wigneron, Y. Kerr

引用次数: 0