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2014 IEEE Geoscience and Remote Sensing Symposium最新文献

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Georegistration of Earth Observing-1 (EO-1) data using Global Land Survey (GLS) maps 利用全球土地调查(GLS)地图对地球观测-1 (EO-1)数据进行地质登记
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946985
J. L. Moigne, Patricia Sazama, Stephen Swanson, Vuong Ly, D. Mandl
{"title":"Georegistration of Earth Observing-1 (EO-1) data using Global Land Survey (GLS) maps","authors":"J. L. Moigne, Patricia Sazama, Stephen Swanson, Vuong Ly, D. Mandl","doi":"10.1109/IGARSS.2014.6946985","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946985","url":null,"abstract":"The method presented in this paper utilizes Global Land Survey (GLS) maps to register Earth Observing-1 (EO-1) data, either using entire scenes or utilizing chips extracted from the GLS maps. The automated registration algorithm is based on the optimization of wavelet or wavelet-like features extracted from both reference and input image data. After testing the method on several ALI scenes, results and conclusions are presented.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"1 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":"126998240","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
Rapid and accurate damage detection in built-up areas combining stripmap and spotlight SAR images 结合条形图和聚束SAR图像，快速准确地识别建成区损伤
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946945
C. Marín, F. Bovolo, L. Bruzzone
{"title":"Rapid and accurate damage detection in built-up areas combining stripmap and spotlight SAR images","authors":"C. Marín, F. Bovolo, L. Bruzzone","doi":"10.1109/IGARSS.2014.6946945","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946945","url":null,"abstract":"In this paper an approach that exploits and combines the acquisition modes offered by satellite SAR systems is presented that: i) quickly and automatically identifies the areas severely affected by a catastrophic event (i.e., hotspots), such as an earthquake by analyzing images characterized by a large coverage and a medium to high geometrical resolution; and ii) analyzes images characterized by very high geometrical resolution acquired over hot-spots in order to detect collapsed buildings. Experimental results obtained on a dataset made up of COSMO-SkyMed (CSK) data acquired before and after the 2009 L'Aquila earthquake (Italy) demonstrate the effectiveness of the proposed approach.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"38 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":"129179160","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
Relevant and invariant feature selection of hyperspectral images for domain generalization 面向领域泛化的高光谱图像相关不变特征选择
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947252
C. Persello, L. Bruzzone
{"title":"Relevant and invariant feature selection of hyperspectral images for domain generalization","authors":"C. Persello, L. Bruzzone","doi":"10.1109/IGARSS.2014.6947252","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947252","url":null,"abstract":"This paper presents a novel feature selection method for the analysis of hyperspectral images. The proposed method aims at selecting a subset of the original features that are both 1) relevant for the considered problem (i.e., preserve the functional relationship between input and output variables), and 2) invariant (stable) across different domains (i.e., minimize the data set shift among different domains). Domains can be associated with images collected on different areas or on the same area at different times. We propose a novel measure of domain stability, which evaluates the distance of the conditional distributions between the source and target domain. Such a measure is defined on the basis of kernel embeddings of conditional distributions and can be applied to both classification and regression problems. Experimental results show the effectiveness of the proposed method in selecting features with high generalization capabilities on the target domain.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"3 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":"130592733","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: 8
Recursive automatic target generation process for unsupervised hyperspectral target detection 无监督高光谱目标检测的递归自动目标生成过程
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947261
Cheng Gao, Chein-I. Chang
{"title":"Recursive automatic target generation process for unsupervised hyperspectral target detection","authors":"Cheng Gao, Chein-I. Chang","doi":"10.1109/IGARSS.2014.6947261","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947261","url":null,"abstract":"Automatic target generation process (ATGP) has been found very useful and effective for unsupervised target detection. It performs a sequence of orthogonal subspace projection to extract potential targets of interest. One major issue arises in ATGP is how to terminate the algorithm in the sense that how many targets are required for ATGP to generate before it is terminated. This paper presents a recursive version of ATGP, referred to as recursive ATGP (RATGP) which has two advantages. One is no need of inverting any matrix as ATGP does for finding each target. Most importantly, a stopping rule can be derived for ATGP via RATGP is also developed using the Neyman-Pearosn detection theory to determine how many targets needed to be generated by RATGP before it is terminated.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"1 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":"130683460","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: 9
A re-optimization dynamic shortest path algorithm for vehicle navigation 车辆导航的再优化动态最短路径算法
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947135
Jincheng Jiang, Lixin Wu
{"title":"A re-optimization dynamic shortest path algorithm for vehicle navigation","authors":"Jincheng Jiang, Lixin Wu","doi":"10.1109/IGARSS.2014.6947135","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947135","url":null,"abstract":"The traffic congestion changes over time in the real transportation network, and the vehicle navigation is a real-time processing. Both the accuracy and time performance of navigation algorithm are important. To respond rapidly to transportation network changes, this paper proposes two new dynamic shortest path algorithms based on the re-optimization method. The algorithms take full advantage of the previous search results, thus they take relatively few computing time to obtain the optimal solution. Experimental results demonstrate that the proposed algorithms can be applied to vehicle navigation in the transportation network with dynamic variation of the travel times on arcs and runs much faster than the traditional Dijkstra algorithm.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"139 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":"123817062","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
GPU-based parallelized time-domain back-projection processing for Agile SAR platforms 基于gpu的敏捷SAR平台并行时域反投影处理
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946629
O. Frey, C. Werner, U. Wegmüller
{"title":"GPU-based parallelized time-domain back-projection processing for Agile SAR platforms","authors":"O. Frey, C. Werner, U. Wegmüller","doi":"10.1109/IGARSS.2014.6946629","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946629","url":null,"abstract":"Agile SAR platforms such as an automobile require a flexible SAR processing scheme to account for nonlinear sensor trajectories during the synthetic aperture. In this contribution, a parallelized implementation of a time-domain back-projection SAR focusing algorithm based on NVIDIA's CUDA GPU computing framework is presented and discussed using a car-borne SAR data set. The processing performance is assessed using different hardware. In addition, a pre-processing scheme is described that allows for full 3-D motion compensation, yet staying conveniently in conventional slant-range/azimuth geometry of single-look complex SAR images.","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":"123905639","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: 21
Applying automatic kernel parameter selection method to the full bandwidth RBF kernel function for hyperspectral image classification 将核参数自动选择方法应用于全带宽RBF核函数，用于高光谱图像分类
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947222
Kai-Ching Chen, Cheng-Hsaun Li, Bor-Chen Kuo, Min-Shian Wang
{"title":"Applying automatic kernel parameter selection method to the full bandwidth RBF kernel function for hyperspectral image classification","authors":"Kai-Ching Chen, Cheng-Hsaun Li, Bor-Chen Kuo, Min-Shian Wang","doi":"10.1109/IGARSS.2014.6947222","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947222","url":null,"abstract":"The support vector machine (SVM) is widely used in hyperspectral image classification due to the robust to the Hughes phenomenon. However, the performance of SVM highly depends on the kernel parameter selection. Hence, it is hard to apply the SVM based on the kernel with lots of parameters such as the full bandwidth RBF (FRBF) kernel whose number of parameters is equal to the number of features. In our previous study, an automatic kernel parameter selection method (APS) was proposed for the normalized kernel function. The proper kernel parameters are the minimizer of the optimization problem based on the proposed kernel-based class separability measure. In this study, we apply the APS to find the best kernel parameters of the FRBF kernel. Experimental results on the Indian Pine Site dataset show that the SVM based on the FRBF kernel with proper kernel parameters outperforms than the SVM based on the RBF kernel on the small sample size problem.","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":"123944030","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
So, You want to be employed? Some advice for graduate students in remote sensing 那么，你想被雇佣吗?给遥感研究生的一些建议
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6946742
R. Ryerson
{"title":"So, You want to be employed? Some advice for graduate students in remote sensing","authors":"R. Ryerson","doi":"10.1109/IGARSS.2014.6946742","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6946742","url":null,"abstract":"A number of things appear to be changing in the job market for graduate students with an interest in remote sensing. First, there are fewer academic or government research positions. Second, increasingly the new positions in the field tend to be in industry and NGOs, including organizations that do not consider remote sensing to be their primary focus. Third, there are increased expectations (hope?) that new graduates will have a basic skill set that will allow them to contribute immediately after being hired. Fourth, many companies have no idea how valuable a person with a Ph.D. or Master's degree might be. Fifth, many recent graduates are considering the potential of becoming entrepreneurs. This paper assesses the implications of the changes in the employment marketplace and outlines some of the knowledge, approaches, and basic skills that students would be wise to develop as they prepare themselves for careers in our wonderful, exciting field.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"26 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":"123647704","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
SVDD-based one-class land-cover mapping using optimal training samples 基于svdd的最优训练样本一类土地覆盖制图
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947254
Muyi Li, Xiufang Zhu, Jianyu Gu, G. Shuai, Anzhou Zhao, Tong Zhou, Yaozhong Pan
{"title":"SVDD-based one-class land-cover mapping using optimal training samples","authors":"Muyi Li, Xiufang Zhu, Jianyu Gu, G. Shuai, Anzhou Zhao, Tong Zhou, Yaozhong Pan","doi":"10.1109/IGARSS.2014.6947254","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947254","url":null,"abstract":"Remotely sensed data have been widely used in the field of producing land-cover thematic maps. When dealing with single class problem, one-class classifiers proved to be more effective compared with conventional supervised classifiers. The Support Vector Data Description (SVDD), one kind of one-class classification method, has been applied to specific land-cover classifications lately. However, the sampling scheme used in previous studies does not follow the SVDD principle. In this paper, Euclidean distance and Mahalanobis distance were chosen as an index to optimize training samples in order to improve the accuracy of SVDD classification. Result shows that sample optimization do improve the classification accuracy. Besides, compared with the Euclidean distance, Mahalanobis distance is more suitable and effective for sample optimization.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"262 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120869877","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
Aerosol remote sensing for Hazy atmosphere 雾霾大气气溶胶遥感研究
2014 IEEE Geoscience and Remote Sensing Symposium Pub Date : 2014-07-13 DOI: 10.1109/IGARSS.2014.6947405
S. Mukai, M. Yasumoto, M. Nakata, I. Sano
{"title":"Aerosol remote sensing for Hazy atmosphere","authors":"S. Mukai, M. Yasumoto, M. Nakata, I. Sano","doi":"10.1109/IGARSS.2014.6947405","DOIUrl":"https://doi.org/10.1109/IGARSS.2014.6947405","url":null,"abstract":"Air pollution in East Asia has become severe in recent years, with heavy air pollutants and Asian dust being transported from China to neighboring countries throughout the year. In this study, we focus on heavy haze event occurring around Beijing in June, when a serious aerosol episode was detected by both satellite and ground measurements. Retrieval of atmospheric aerosol characteristics from satellite is achieved by radiative transfer simulation in the Earth atmosphere model. The aerosol model is compiled from the worldwide aerosol monitoring network (NASA/AERONET). It is shown here that the radiative transfer problem in the case of aerosol episode is solved by a method of successive order of scattering. In addition we conclude that air pollution around Beijing in June is mainly due to increasing emissions of the anthropogenic aerosols, furthermore carbonaceous aerosols from agriculture biomass burning in Southeast Asia also contribute to the pollution.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"22 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":"114079387","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
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