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| 1 | 遥感图像处理中的深度学习专题简介显示文摘深度学习是一种非常适用于大数据应用的新兴技术.在对地观测领域,由大量在轨卫星获取的海量遥感数据,使其成为数据驱动应用的典范.过去几年来,遥感图像处理相关的深度学习研究快速增长,包括高光谱遥感图像、合成孔径雷达(SAR)图像等处理、分类、参数反演及目标检测识别.除了遥感数据的高分辨率、高维度和大尺寸之外,该领域还存在一些特殊的挑战,如不同传感器及其不同工作模式的复杂性和特殊性,隐含在遥感数据中的独特物理属性,信息反演的物理原理等. | 徐丰 胡程 李军 Antonio PLAZA Mihai DATCU | 2020 | 中国科学:信息科学2020，50，4： | 4 |
| 2 | Super-resolution of geosynchronous synthetic aperture radar images using dialectical GANs显示文摘Dear editor,The concept of geosynchronous synthetic aperture radar (GEO SAR) system was conceived in an effort to realize a quick observation of emergency disasters (e.g., landslides and earthquakes)[1].The novel GEO SAR system has the significant advantages of short-revisit time and large coverage and facilitates the nearly continuous observation of target regions, unlike the currently operatinglow earth orbit (LEO) SARs [2]. | Yuanhao LI Dongyang AO Corneliu Octavian DUMITRU Cheng HU Mihai DATCU | 2019 | Science China(Information Sciences)2019，62，10： | 3 |
| 3 | Special focus on deep learning in remote sensing image processing显示文摘As a newly emerging technology,deep learning is a very promising field in big data applications.Remote sensing applications often involve huge volume data obtained daily by numerous in-orbit satellites.This makes it a perfect area for data-driven applications.Over the past years,there has been an exponentially increasing interest in deep learning for remote sensing image processing,including not only optical imagery but also synthetic aperture radar(SAR)imagery.In addition to the rapidly growing size and spectral,spatial and temporal resolution of remote sensing data,there are other challenges that are unique in this area,e.g.the intrinsic complexity and particularity of each specific sensor and their multi-modality,the fundamental physical properties embedded in the data,the underlying principles for information retrieval,etc.To promote the research in this area,we have organized a special focus feature on deep learning in remote sensing image processing in the SCIENCE CHINA Information Sciences. | Feng XU Cheng HU Jun LI Antonio PLAZA Mihai DATCU | 2020 | Science China(Information Sciences)2020，63，4： | 2 |
| 4 | Improvement of building wall surface temperature measurements by infrared thermography 显示文摘 | Datcu S Ibos L Candau Y | 2005 | Infrared Physics & Technology2005，46，6： | 1 |
| 5 | Improvement of building wall surface temperature measurements by infrared thermography显示文摘 | Datcu S Ibos L Candau Y | 2005 | Infrared Physics & Technology2005，46，6： | 1 |
| 6 | Human-centered Concepts for Exploration and Understanding of Earth Oobservation Images显示文摘 | Seidel K | 2005 | IEEE Tarnsactions on Geoscience and Remote Sensing2005，43，： | 1 |
| 7 | Information Mining in Remote Sensing Image Archives: System Concepts 显示文摘 | Mihai Datcu Herbert Daschiel Perlizzari etc | 2003 | IEEE Transactions on Image Processing2003，41，： | 1 |
| 8 | Improvement of building wall surface temperature measurements by infrared thermography显示文摘 | Stefan Datcu Laurent Ibos Yves Candau Simone Matte? | 2005 | Infrared Physics and Technology2005，，6： | 1 |
| 9 | Characterization of the vaginal microflora in health and disease显示文摘 | Datcu R | 2014 | Dan Med J2014，61，4： | 1 |
| 10 | Gauss-Markov model for wavelet- based SAR image despeckling显示文摘 | Gleich D Datcu M | 2006 | IEEE Signal Processing Letters2006，13，6： | 1 |
| 11 | Information Fusion for Scene Under standing from Interferometric SAR Data in Urban Environments显示文摘 | Quartulli M Datcu M | 2003 | IEEE Transactions on Geoscience and Remote Sensing2003，41，9： | 1 |
| 12 | Generalisation of inverse synthetic aperture radar autofocusing methodsbased on the minimisation of the Renyi entropy 显示文摘 | Munoz-Ferreras J M Perez-Martinez F Datcu M | 2010 | IET Radar Sonar & Navigation(S 1751-8784)2010，4，4： | 1 |
| 13 | Information Mining in Remote Sensing Image Archives:System Concepts显示文摘 | Daschiel H Pelizzari A | 2003 | IEEE Transactions on Geoscience and Remote Sensing2003，41，： | 1 |
| 14 | Human-centered Concepts for Exploration and Understanding of Earth Oobservation Images显示文摘 | Seidel K | 2005 | IEEE Transactions on Geoscience and Remote Sensing2005，43，： | 1 |
| 15 | Query by image content and information mining显示文摘 | Datcu M Seidel K | 1999 | IEEE Geoscience and Remote Sensing Symposium1999，，2： | 1 |
| 16 | Information Mining in Remote Sensing Image Archives-Part A:System Concepts显示文摘 | Datcu M | 2003 | IEEE Trans on Geosciences and Remote Sensing2003，41，12： | 1 |
| 17 | Gibbs random fieldmodels for model-based despeckling of SAR images显示文摘 | Molina D E Gleich D and Datcu M | 2010 | IEEEGeoscience and Remote Sensing Letters2010，7，1： | 1 |
| 18 | Wavelet-based SAR image despeclding and information extraction using particle filter显示文摘 | D Gleich M Datcu | 2009 | IEEE Trans on Image Processing2009，18，10： | 1 |
| 19 | Model-Based despeckling and information extraction form images 显示文摘 | Walessa M Datcu M | 2000 | IEEE Trans Geosci Remote Sensing2000，38，5： | 1 |
| 20 | Spatial information retrieval from remote-sensing images-Part Ⅰ: Information theoretical perspective显示文摘 | Datcu M Seidel K Walessa M | 1998 | IEEE Trans Geosci Remote Sens1998，36，5： | 1 |
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