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Understanding satellite images:a data mining module for Sentinel images

Big Earth Data 2020年第4期4卷 367-408页

作者： Corneliu Octavian Dumitru gottfried schwarz Anna Pulak-Siwiec Bartosz Kulawik Mohanad Albughdadi Jose Lorenzo Mihai Datcu Remote Sensing Technology Institute(IMF) Earth Observation Center(EOC)German Aerospace Center(DLR)WeβingGermany SmallGIS KrakowPoland Terranis Ramonville France ATOS SPAIN SA MadridSpain

The increased number of free and open Sentinel satellite images has led to new applications of these *** them is the systematic classification of land cover/use types based on patterns of settlements or agriculture recorded by these images,in particular,the identification and quantification of their temporal *** this paper,we will present guidelines and practical examples of how to obtain rapid and reliable image patch labelling results and their validation based on data mining techniques for detecting these temporal changes,and presenting these as classification maps and/or statistical *** represents a new systematic validation approach for semantic image content *** will focus on a number of different scenarios proposed by the user community using Sentinel *** a large number of potential use cases,we selected three main cases,namely forest monitoring,flood monitoring,and macro-economics/urban monitoring.

关键词： Data mining Earth observation Sentinel-1 Sentinel-2 image semantics classification maps analytics third party mission data

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The digital Earth Observation Librarian:a data mining approach for large satellite images archives

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Big Earth Data 2020年第3期4卷 265-294页

作者： Mihai Datcu Alexandru-Cosmin Grivei Daniela Espinoza-Molina Corneliu Octavian Dumitru Christoph Reck Vlad Manilici gottfried schwarz German Aerospace Center Remote Sensing Technology InstituteWesslingGermany Research Center for Spatial Information University Politehnica of BucharestBucharestRomania German Remote Sensing Data Center German Aerospace CenterWesslingGermany

Throughout the years,various Earth Observation(EO)satellites have generated huge amounts of *** extraction of latent information in the data repositories is not a trivial *** methodologies and tools,being capable of handling the size,complexity and variety of data,are *** scientists require support for the data manipulation,labeling and information extraction *** paper presents our Earth Observation Image Librarian(EOLib),a modular software framework which offers innovative image data mining capabilities for TerraSAR-X and EO image data,in *** main goal of EOLib is to reduce the time needed to bring information to end-users from Payload Ground Segments(PGS).EOLib is composed of several modules which offer functionalities such as data ingestion,feature extraction from SAR(Synthetic Aperture Radar)data,meta-data extraction,semantic definition of the image content through machine learning and data mining methods,advanced querying of the image archives based on content,meta-data and semantic categories,as well as 3-D visualization of the processed *** is operated by DLR’s(German Aerospace Center’s)Multi-Mission Payload Ground Segment of its Remote Sensing Data Center at Oberpfaffenhofen,Germany.

关键词： Earth observation TerraSAR-X data mining system

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Spatial heterogeneity of oxygenation and haemodynamics in breast cancer resolved in vivo by conical multispectral optoacoustic mesoscopy

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Light(Science & Applications) 2020年第1期9卷 1455-1469页

作者： Jiao Li Andrei Chekkoury Jaya Prakash Sarah Glasl Paul Vetschera Benno Koberstein-schwarz Ivan Olefir Vipul Gujrati Murad Omar Vasilis Ntziachristos School of Precision Instruments and Optoelectronics Engineering Tianjin UniversityNo.92Weijin RoadNankai District300072 TianjinChina Institute of Biological and Medical Imaging Helmholtz Zentrum MunchenIngolstadter Landstr.1D-85764 NeuherbergGermany Chair of Biological Imaging TranslaTUMTechnische Universitat MunchenIsmaningerstr.22D-81675 MunichGermany Department of Instrumentation and Applied Physics Indian Institute of Science BangaloreCV Raman RdBengaluru 560012 KarnatakaIndia

The characteristics of tumour development and metastasis relate not only to genomic heterogeneity but also to spatial heterogeneity,associated with variations in the intratumoural arrangement of cell populations,vascular morphology and oxygen and nutrient *** optical(photonic)microscopy is commonly employed to visualize the tumour microenvironment,it assesses only a few hundred cubic microns of ***,it is not suitable for investigating biological processes at the level of the entire tumour,which can be at least four orders of magnitude *** this study,we aimed to extend optical visualization and resolve spatial heterogeneity throughout the entire tumour *** developed an optoacoustic(photoacoustic)mesoscope adapted to solid tumour imaging and,in a pilot study,offer the first insights into cancer optical contrast heterogeneity in vivo at an unprecedented resolution of<50μm throughout the entire tumour *** spectral methods,we resolve unknown patterns of oxygenation,vasculature and perfusion in three types of breast cancer and showcase different levels of structural and functional *** our knowledge,these results are the most detailed insights of optical signatures reported throughout entire tumours in vivo,and they position optoacoustic mesoscopy as a unique investigational tool linking microscopic and macroscopic observations.

关键词： insight arrangement linking

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