2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)最新文献_第4页

A segmentation based global iterative censoring scheme for ship detection in synthetic aperture radar image.doc 基于分割的合成孔径雷达图像船舶检测全局迭代滤波方法[j]

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730702

S. Tian, Chao Wang, Hong Zhang

引用次数: 3

A new method for attitude refinement of earth observation satellite with asynchronous images 一种基于异步图像的对地观测卫星姿态优化方法

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729309

Tao Sun, Li Huang, Hui Long, Bao-Cheng Liu

{"title":"A new method for attitude refinement of earth observation satellite with asynchronous images","authors":"Tao Sun, Li Huang, Hui Long, Bao-Cheng Liu","doi":"10.1109/IGARSS.2016.7729309","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729309","url":null,"abstract":"The accuracy of attitude observation is always the main contributor to geometric performance of earth observation satellites (EOSs). Given the ground process requirement, linear pushbroom and asynchronous imaging sensors are widely used in EOSs, such as multispectral sensor with sequential line arrays, three-line array sensor in stereo mapping satellite, panchromatic sensor with multiple non-collinear CCD chip in some high-resolution optical satellite. By using the images of those sensors, this paper proposes a method, which is based on image registration approach, rigorous forward intersection and bundle adjustment technology, to refine attitude data of satellite for improving geometric performance of images. Preliminary experiments, which used multi-sensors asynchronous images of Chinese Mapping Satellite-1-02, demonstrate that the proposed method is capable of improving internally coincident precision of attitude data without ground control points. In particular, relative positioning accuracy of images can be directly improved, and absolute positioning accuracy can consequently be improved via additionally using a few GCPs in the stripe image data.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126161998","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 hyperspectral spatial-spectral enhancement algorithm 一种高光谱空间光谱增强算法

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730885

Chen Yi, Yongqiang Zhao, Jingxiang Yang

引用次数: 0

Geospatial techniques for flood inundation mapping 洪水淹没测绘的地理空间技术

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730143

Kuldeep, P. Garg, R. Garg

{"title":"Geospatial techniques for flood inundation mapping","authors":"Kuldeep, P. Garg, R. Garg","doi":"10.1109/IGARSS.2016.7730143","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730143","url":null,"abstract":"In India, most of the rivers form big size natural islands due to change in its course. However, identification of suitable river island for construction of Eco-friendly parks/tourist destination is a very challenging task since these are exposed to river flooding. River islands which are least vulnerable to the impact of severe flooding can be a suitable place for construction of tourism destination such as eco-friendly Parks, Hotels etc. The study involves a two step approach viz. automatic extraction of river islands and model development for flood inundation mapping for extraction of eco-friendly tourism destinations. In this study, automatic extraction of the river islands has been carried out using texture based classification approach. The satellite data acquired by the Indian Remote Sensing Satellites sensors such as LISS-III and Cartosat-1 DEM have been used for analyses. In the first step, satellite imagery has been broadly categorized into 6 landuse/cover classes viz. Water, Sand, Islands, Settlements, Agriculture and Cropland. Extraction of such islands which remain unaffected during severe flooding has been accomplished with the flood inundation mapping which has been carried out in HEC-GeoRas with in GIS environment. The model utilizes the primary 4 inputs viz. geometry of the river (DEM, slope), time series data of water surface elevation, landuse/cover, and location of rain gauge station for flood inundation mapping. This paper also investigates the applicability of the eco-island concept to include protection of wetland, management of land-resources, sustainable use of natural resources and construction of ecological park/hotels. The output of the study will be very useful for Government authorities in stabilizing economy, and enhancing the tourism infrastructure in a better way.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123564614","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: 11

Building collapse extraction using modified freeman decomposition from post-disaster polarimetric SAR image 基于改进freeman分解的灾后极化SAR图像建筑物倒塌提取

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730507

Qihao Chen, Linlin Li, Ping Jiang, Xiuguo Liu

引用次数: 9

New SMOS salinity products at CP34-BEC in Barcelona 巴塞罗那CP34-BEC的新SMOS盐度产品

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730041

E. Olmedo, A. Turiel, J. Ballabrera‐Poy, Justino Martínez, M. Portabella, V. González-Gambau, C. Gabarró, F. Pérez, Nina Hoareau, M. Piles, J. Font

引用次数: 0

Sensitivity of XCAL double difference approach to ocean surface emissivity and its impact on inter-calibration in GPM constellation XCAL双差法对海面发射率的敏感性及其对GPM星座间定标的影响

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729221

Ruiyao Chen, H. Ebrahimi, W. Jones

{"title":"Sensitivity of XCAL double difference approach to ocean surface emissivity and its impact on inter-calibration in GPM constellation","authors":"Ruiyao Chen, H. Ebrahimi, W. Jones","doi":"10.1109/IGARSS.2016.7729221","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729221","url":null,"abstract":"A robust XCAL double difference (DD) approach for radiometric calibration has been successfully applied between the TRMM Microwave Imager, TMI, (previous calibration transfer standard for NASA's Precipitation Measuring Mission) and a number of precipitation measuring radiometers in polar sun-synchronous orbits. Now that the TRMM Mission has ended (April 2015), the radiometric transfer standard was changed from TMI to the current GPM Microwave Imager (GMI). The use of an ocean radiative transfer model (RTM) is an integral part of our XCAL DD approach. Because the RTM physics is imperfect and because the environmental parameters are likewise only estimates of their true values, it is important to assess the sensitivity of the derived brightness temperature biases to these limitations. Therefore, in this paper, we conduct the inter-calibration between GMI and other constellation satellite microwave radiometers using the XCAL DD approach with two different ocean surface emissivity models. Results are presented that demonstrate the robustness of the XCAL DD approach for multiple instruments over a wide range of channel frequencies.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126737806","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

Cloud filtering for Landsat TM satellite images using multiple temporal mosaicing 基于多重时序拼接的Landsat TM卫星图像云滤波

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730888

Yi Guo, Feng Li, P. Caccetta, Drew Devereux, M. Berman

引用次数: 10

Polarimetric SAR images classification based on L distribution and spatial context 基于L分布和空间背景的极化SAR图像分类

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730298

Qiao Xu, Qihao Chen, Xiaoli Xing, Shuai Yang, Xiuguo Liu

引用次数: 4

An unsupervised hidden Markov random field based segmentation of polarimetric SAR images 基于无监督隐马尔可夫随机场的极化SAR图像分割

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729392

Biplab Banerjee, S. De, S. Manickam, A. Bhattacharya

引用次数: 1