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2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)最新文献

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Matching purified based on singular value decomposition 基于奇异值分解的匹配纯化
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729725
Yang Dong, D. Fan, S. Ji
{"title":"Matching purified based on singular value decomposition","authors":"Yang Dong, D. Fan, S. Ji","doi":"10.1109/IGARSS.2016.7729725","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729725","url":null,"abstract":"Generally, purified algorithms of image matching points use some of the points as initial input. For the algorithms, as the purification results are quite easy to fall into a local optimum, they usually have such problems as rejecting some of correct matching points. To solve this problem, we introduce singular value decomposition model, which take the whole matches as input to obtain a more accurate result through iterative robust solving. Extensive experiments on practical images demonstrate the excellent performance of our proposed method.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"75 2 Suppl 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":"128454719","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 mountain-based occultation experiment with L2C and B1I open loop 基于L2C和B1I开环的山地掩星实验
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730083
Di Wu, Xianyi Wang, Yueqiang Sun, Q. Du, Dongwei Wang, Yuerong Cai, Chunjun Wu, W. Bai, Junming Xia, X. Meng, Wei Li, Cheng Liu
{"title":"A mountain-based occultation experiment with L2C and B1I open loop","authors":"Di Wu, Xianyi Wang, Yueqiang Sun, Q. Du, Dongwei Wang, Yuerong Cai, Chunjun Wu, W. Bai, Junming Xia, X. Meng, Wei Li, Cheng Liu","doi":"10.1109/IGARSS.2016.7730083","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730083","url":null,"abstract":"GNOS (GNSS Occultation Sounder) is an instrument developed by National Space Science Center (NSSC), Chinese Academy of Sciences. It was first successfully launched in September 23, 2013, as a payload of FY3C. More than 700 occultation events were received every day. The modified GNOS will also be on-board the FY3D satellite scheduled to launch in 2016. It contains three major improvements including increasing occultation channel numbers, employing open loop tracking on GPS L2C and Compass B1I and improving the gain of the antenna. In order to confirm the performance of GNOS instrument, a mountain-based experiment was carried out in China's Hebei Province on Mt. Wuling (40.598°N, 117.478°E) from June 16th to June 18th, 2015. By analyzing the experimental data, the performance of open-loop tracking on GPS L2C and Compass B1I was well validated.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"11 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":"128482511","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
Moon-based Synthetic Aperture Radar: Review and challenges 月基合成孔径雷达:综述与挑战
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729961
A. Renga, A. Moccia
{"title":"Moon-based Synthetic Aperture Radar: Review and challenges","authors":"A. Renga, A. Moccia","doi":"10.1109/IGARSS.2016.7729961","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729961","url":null,"abstract":"Based on a recent renewed interest in the utilization of Moon as a platform for Earth remote sensing, this paper reviews the concept of a Moon-based Synthetic Aperture Radar (SAR). Such a system presents some features, which differentiate it from a conventional spaceborne SAR. Indeed process of antenna synthesis and the observation geometry are quite different. The platform, on which the observatory shall be build up, is not an orbiter or a space formation, but a whole celestial body. Earth-Moon relative motion generates the synthetic aperture and the properties of such a motion allow for the exploitation of very long synthetic antennas. Moreover two or more antennas can be located over lunar surface realizing a distributed SAR and enabling single-pass interferometric SAR applications, e.g. cross-track interferometry and tomography. System parameters and technological challenges of such a Moon-based observatory are also discussed.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"4 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":"128484921","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: 14
Pansharpening of hyperspectral images: Exploiting data acquired by multiple platforms 高光谱图像的泛锐化:利用多平台采集的数据
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730883
Daniele Picone, R. Restaino, G. Vivone, P. Addesso, J. Chanussot
{"title":"Pansharpening of hyperspectral images: Exploiting data acquired by multiple platforms","authors":"Daniele Picone, R. Restaino, G. Vivone, P. Addesso, J. Chanussot","doi":"10.1109/IGARSS.2016.7730883","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730883","url":null,"abstract":"Accurate representations of the Earth surface in both spatial and spectral domains are highly desirable in many applications using remotely sensed data. An effective solution is achieved by combining hyperspectral data, which are characterized by a high spectral diversity, with high spatial resolution images, collected by multispectral or panchromatic sensors. In this work, we compare the outcomes provided by fusing single-platform or multi-platform data. We demonstrate that the optimal choice depends on the target spatial resolution to be achieved. To this aim, real images collected by the Hyperion sensor are combined with data acquired by the ALI sensor or the QuickBird sensor assessing the fused outcomes at reduced resolution.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"36 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":"128542402","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
Development of electromagnetic approach for early breast tumor detection 早期乳腺肿瘤电磁入路的发展
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729182
N. Kumar, Varsha Mishra, Smitha Puthucheri, Dharmendra Singh, Keshava P. Singh, Naveen Singh Rajput
{"title":"Development of electromagnetic approach for early breast tumor detection","authors":"N. Kumar, Varsha Mishra, Smitha Puthucheri, Dharmendra Singh, Keshava P. Singh, Naveen Singh Rajput","doi":"10.1109/IGARSS.2016.7729182","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729182","url":null,"abstract":"Survival from breast cancer strongly linked to the size of the tumor at the detection stage. Thus, the early stage detection of tumor of size as minimum as 1.0 mm radius is of great research interest. Currently used techniques for breast cancer detection fails in 10-30% cases and it gives any positive results when the tumor grows in to a size more than 10.0 mm, this reduces the possibility for an early stage detection and thus the survival rate. Thus, in this paper an alternate method of breast cancer detection through microwave imaging is studied. A dielectric mixing model is used to compute the dielectric constant of the breast tissue with and without the malignant tissue and the proposed model is verified through the simulation in CST. Free space transmission and metal back method are used for the measurement of dielectric constant of the phantom containing one, two, three and four tumors of radius 1.0 mm each. The proposed dielectric mixing model can be applied to detect the changes in the dielectric constant of the tumor affected tissue of radius 1.0 mm which is not possible through any other existing methods.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 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":"128772592","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
Probability model of the multipath delays in radar echoes of scatters above 3-D surfaces 三维表面以上散射体雷达回波多径延迟的概率模型
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729609
C. Duan, Z. Leng, K. Zhu
{"title":"Probability model of the multipath delays in radar echoes of scatters above 3-D surfaces","authors":"C. Duan, Z. Leng, K. Zhu","doi":"10.1109/IGARSS.2016.7729609","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729609","url":null,"abstract":"In the radar imaging of the object above three-dimensional (3-D) ocean surface, the multipath scattering brings in artifacts which can be reckoned as the distorted and shifted replicas of the direct-path scatters. As it is the propagation delays that play an important role in the understanding of these artifacts, this paper proposes a probability model of the multipath delays for the scatters above the 3-D ocean surface. As the premise, the surface is endowed with the Kirchhoff approximation, as well as a probability density function of the elevations and slopes. The probability model is then deduced and is validated by the electromagnetic computation results. In addition, the influence of relevant parameters is analyzed using the Monte Carlo techniques.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 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":"128562518","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
Improved neighborhood similar pixel interpolator for filling unsacn multi-temporal Landsat ETM+ data without reference 改进的邻域相似像素插值器，用于无参考地填充unsacn多时相Landsat ETM+数据
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729603
Guoming Gao, Tianzhu Liu, Yanfeng Gu
{"title":"Improved neighborhood similar pixel interpolator for filling unsacn multi-temporal Landsat ETM+ data without reference","authors":"Guoming Gao, Tianzhu Liu, Yanfeng Gu","doi":"10.1109/IGARSS.2016.7729603","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729603","url":null,"abstract":"Since the scan line corrector (SLC) of the Landsat ETM+ sensor failed permanently in 2003, about 22% of the pixels in an SLC-off image are missed. Traditional gap filling methods always need a SLC-on image for reference, but the most similar sensor (Landsat TM) closed at 2011. And the potential of multi-temporal was also neglected in traditional filling methods. In this paper, a multi-temporal Landsat ETM+ gap filling method is proposed without using SLC-on reference which has ability to increase the utilization efficiency of multi-temporal images. The proposed method is mainly based on neighborhood similar pixel interpolator (NSPI) and the major contribution are find an effective way to select valid temporal and conjunctive use the temporal advantage to calculate of the target pixel value. Similarity both in spatial and temporal can be obtained in our method. Real multi-temporal Landsat data and missing gap location are used to assess the efficacy of the proposed method. Both qualitative and quantitative evaluations results suggest that our proposed method can predict the missing values very accurately and improve the utilization efficiency of multi-temporal.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"17 3 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":"128631901","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
Proof of hidden node number and experiments on RBF network for well log data inversion 基于RBF网络的隐节点数证明及测井数据反演实验
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7729721
Kou-Yuan Huang, Liang C. Shen, Jiun-Der You, Li-Sheng Weng
{"title":"Proof of hidden node number and experiments on RBF network for well log data inversion","authors":"Kou-Yuan Huang, Liang C. Shen, Jiun-Der You, Li-Sheng Weng","doi":"10.1109/IGARSS.2016.7729721","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7729721","url":null,"abstract":"In the multilayer perceptron (MLP), there was a theorem about the maximum number of separable regions (M) given the number of hidden nodes (H) in the input d-dimensional space. We propose a recurrence relation to prove the theorem using the expansion of recurrence relation instead of proof by induction. We use three-layer radial basis function net (RBF) on the well log data inversion to test the number of hidden nodes determined by the theorem. The three-layer RBF has more nonlinear mapping. In the experiments, we have 31 simulated well log data. 25 well log data are used for training, and 6 are for testing. The experimental results can support the number of hidden nodes determined by the theorem.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"33 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":"129080005","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
BorealScat: A tower-based tomographic and polarimetric radar experiment in the boreal forest at P-, L- and C-band BorealScat:在北方森林P、L、c波段进行的塔式层析和极化雷达试验
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730945
Albert R. Monteith, M. Soja, L. Ulander, L. Eriksson
{"title":"BorealScat: A tower-based tomographic and polarimetric radar experiment in the boreal forest at P-, L- and C-band","authors":"Albert R. Monteith, M. Soja, L. Ulander, L. Eriksson","doi":"10.1109/IGARSS.2016.7730945","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730945","url":null,"abstract":"This paper describes BorealScat, a tower-based radar campaign for acquiring multitemporal polarimetric, tomographic and Doppler radar measurements at P-, L- and C-band over a hemi-boreal forest site in Remningstorp, Sweden. The facility consists of a 50-m high tower equipped with a radar system including an array of 30 antennas. The site will also be equipped with meteorological instruments and moisture sensors. The aim of the experiment is the temporal survey of radar signatures over time scales ranging from sub-seconds to years in varying environmental conditions. This experiment will provide fundamental information about the electromagnetic scattering mechanisms in boreal forests at P-, L- and C-band.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"69 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":"124595897","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
Geo-referencing and stereo calibration of ground-based Whole Sky Imagers using the sun trajectory 基于太阳轨迹的地面全日成像仪的地理参考和立体校准
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2016-07-10 DOI: 10.1109/IGARSS.2016.7730949
Florian M. Savoy, Soumyabrata Dev, Y. Lee, Stefan Winkler
{"title":"Geo-referencing and stereo calibration of ground-based Whole Sky Imagers using the sun trajectory","authors":"Florian M. Savoy, Soumyabrata Dev, Y. Lee, Stefan Winkler","doi":"10.1109/IGARSS.2016.7730949","DOIUrl":"https://doi.org/10.1109/IGARSS.2016.7730949","url":null,"abstract":"Ground-based Whole Sky Imagers (WSIs) are now commonly used for cloud observations. Upon deployment, they may not be exactly level or precisely face north. This significantly affects subsequent processing of the images, especially for applications where two or more imagers are required, e.g. 3D volumetric cloud reconstruction. We present a method to remove this mis-alignment using the sun position in images captured over a whole day. Coupled with precise coordinates of the device locations, this method also improves the geo-referencing accuracy of the captured images. We detect the sun in the images and compute the corresponding 3D vectors using the lens calibration function. These vectors are compared to the actual sun direction. The mismatch between the two sets of vectors is then corrected using a 3D rotation matrix. The method can also be applied to other celestial bodies, such as stars or the moon.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"517 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":"124613502","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
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