Data Fusion Contest 2016 (DFC2016)

The Data Fusion Contest 2016: Goals and OrganizationThe 2016 IEEE GRSS Data Fusion Contest, organized by the IEEE GRSS Image Analysis and Data Fusion Technical Committee, aimed at promoting progress on fusion and analysis methodologies for multisource remote sensing data.New multi-source, multi-temporal data including Very High Resolution (VHR) multi-temporal imagery and video from space were released. First, VHR images (DEIMOS-2 standard products) acquired at two different dates, before and after orthorectification: Panchromatic data at 1 m spatial resolution point spacing Multispectral data at 4 m spatial resolution point spacing Second a video from in-orbit camera: High-Definition Video acquired from the International Space Station (ISS), at 1-m spatial resolution The DataThe imaging data were acquired on March, 31, and May, 30, 2015, over Vancouver, Canada (49°15’N 123°6’W), from the DEIMOS-2 satellite. DEIMOS-2 operates from a Sun-synchronous orbit at a mean altitude of 620km. The spacecraft design is based on an agile platform for fast and precise off-nadir imaging (up to +/-30° over nominal scenarios and up to +/-45° in emergency cases), and carries a push-broom very high resolution camera with 5 spectral channels (1 panchromatic, 4 multispectral with red, green, blue and NIR bands).For each date, four images are provided: panchromatic images at 1 m resolution and multispectral product (R, G, B, NIR) at 4 m resolution, both at levels 1B (a calibrated and radiometrically corrected product, not resampled; with the geometric information contained in a RPC separated file) and 1C (a calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid; the geometric information is contained in the GeoTIFF tags.) Level 1C images cover exactly the same ground area for both dates. The full colour, UHD video was acquired over Vancouver on July, 2nd, 2015. The High-Resolution camera, Iris, is installed on the Zvezda module of the International Space Station (ISS). Iris uses a CMOS detector to capture RGB videos with a Ground Sample Distance as fine as 1-meter, at 3 frames per second. Iris videos use image frames that have been fully ortho-rectified and resampled to 1-meter. Frame format is 3840×2160 pixels and cover approximately 3.8km × 2.1km.Results, Awards, and Prizes2016 IEEE GRSS Data Fusion Contest ResultsAcknowledgmentThe Contest is being organized in collaboration with Deimos Imaging and UrtheCast. The IADF TC wishes to express its greatest appreciation to Deimos Imaging and UrtheCast, for acquiring and providing the data used in the competition and for indispensable contribution to the organization of the Contest, and to the IEEE GRSS for continuously supporting the annual Data Fusion Contest through funding and resources.How to Get the DataThe data were provided for the purpose of participation in the 2016 Data Fusion Contest, however they remain available to the community for futher research purposes. To request the data set, please click here to proceed to registration.By submitting the registration form, participants acknowledge that they have read the following Contest Terms and Conditions, and that they agree to these terms and conditions: The owner of the data and of the copyright on the data is Deimos Imaging, Spain. The data are only available for the scientific purposes of the 2016 IEEE GRSS Data Fusion Contest. Any dissemination or distribution of the data by any registered user is strictly forbidden. The data can be used in scientific publications subject to approval by the IEEE GRSS Image Analysis and Data Fusion Technical Committee and by the data owner on a case-by-case basis. To submit a scientific publication for approval, the publication shall be sent as an attachment to an e-mail addressed to [e-mail] and [e-mail]. Any scientific publication using the data shall include a section “Acknowledgement”. This section shall include the following sentence: “The authors would like to thank Deimos Imaging for acquiring and providing the data used in this study, and the IEEE GRSS Image Analysis and Data Fusion Technical Committee.” In any scientific publication using the data, the data shall be identified as “grss_dfc_2016” and shall be referenced as follows: “[REF. NO.] 2016 IEEE GRSS Data Fusion Contest. Online: http://www.grss-ieee.org/community/technical-committees/data-fusion”. The following Open-Access article which summarized the outcomes of the 2016 Data Fusion Contest should be cited: https://ieeexplore.ieee.org/document/7948767@ARTICLE{7948767,author={L. {Mou} and X. {Zhu} and M. {Vakalopoulou} and K. {Karantzalos} and N. {Paragios} and B. {Le Saux} and G. {Moser} and D. {Tuia}},journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},title={Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest},year={2017},volume={10},number={8},pages={3435-3447},doi={10.1109/JSTARS.2017.2696823},ISSN={},month={Aug},}

《2016年数据融合竞赛：目标与组织》2016年IEEE GRSS数据融合竞赛由IEEE GRSS图像分析与数据融合技术委员会主办，旨在推动多源遥感数据融合与分析方法的发展。竞赛发布了新的多源、多时相数据，包括来自太空的高分辨率（VHR）多时相影像和视频。首先，提供了两个不同日期获取的VHR影像（DEIMOS-2标准产品），在正射校正前后：1米空间分辨率的全色数据，4米空间分辨率的多光谱数据。其次，提供了一组轨道摄像机的视频：由国际空间站（ISS）获取的高清视频，空间分辨率为1米。数据是在2015年3月31日和5月30日从加拿大温哥华（49°15’N 123°6’W）上空，由DEIMOS-2卫星获取的。DEIMOS-2卫星运行在太阳同步轨道，平均海拔620公里。该航天器设计基于敏捷平台，可实现快速和精确的旁视成像（在正常情况下，可达±30°，在紧急情况下可达±45°），并搭载了一台具有5个光谱通道（1个全色通道，4个多光谱通道，包括红、绿、蓝和近红外波段）的推帚式高分辨率相机。对于每个日期，提供了四张图像：1米分辨率的全色图像和4米分辨率的（R、G、B、NIR）多光谱产品，均包含1B级（校准并辐射校正的产品，未重采样；几何信息包含在RPC分离文件中）和1C级（校准并辐射校正的产品，手动正射校正并重采样到地图网格；几何信息包含在GeoTIFF标签中）。1C级图像覆盖了两个日期相同的地面区域。全彩色、超高清视频是在2015年7月2日对温哥华进行拍摄的。高分辨率相机Iris安装在国际空间站（ISS）的Zvezda模块上。Iris使用CMOS探测器捕获RGB视频，地面采样距离精细到1米，每秒3帧。Iris视频使用完全正射校正并重采样到1米的图像帧。帧格式为3840×2160像素，覆盖大约3.8公里×2.1公里的区域。结果、奖项和奖品2016年IEEE GRSS数据融合竞赛结果致谢本竞赛是由Deimos Imaging和UrtheCast合作组织的。IADF技术委员会对Deimos Imaging和UrtheCast表示最深切的感谢，感谢其获取并提供了竞赛中使用的这些数据，以及他们对竞赛组织的不可或缺的贡献，并对IEEE GRSS表示持续的感谢，感谢其在资金和资源方面对年度数据融合竞赛的支持。如何获取数据这些数据是为了参加2016年数据融合竞赛而提供的，但它们仍可供社区用于进一步研究。如需请求数据集，请点击此处进行注册。通过提交注册表，参与者承认他们已阅读以下竞赛条款和条件，并同意这些条款和条件：数据的所有者和数据版权属于西班牙的Deimos Imaging。数据仅可用于2016年IEEE GRSS数据融合竞赛的科学研究目的。任何注册用户的数据传播或分发都是严格禁止的。数据可用于科学出版物，但需经IEEE GRSS图像分析与数据融合技术委员会和数据所有者逐案批准。如需提交科学出版物以供批准，请将出版物作为附件发送至[e-mail]和[e-mail]的电子邮件地址。任何使用数据的科学出版物都应包含一个“致谢”部分。该部分应包含以下句子：“作者感谢Deimos Imaging为本研究获取和提供数据，以及IEEE GRSS图像分析与数据融合技术委员会。”在任何使用数据的科学出版物中，数据应标识为“grss_dfc_2016”，并按以下方式引用：“[引用编号] 2016 IEEE GRSS数据融合竞赛。在线：http://www.grss-ieee.org/community/technical-committees/data-fusion”。以下概述了2016年数据融合竞赛结果的开放获取文章应被引用：https://ieeexplore.ieee.org/document/7948767@ARTICLE{7948767,author={L. {Mou} and X. {Zhu} and M. {Vakalopoulou} and K. {Karantzalos} and N. {Paragios} and B. {Le Saux} and G. {Moser} and D. {Tuia}},journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},title={Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest},year={2017},volume={10},number={8},pages={3435-3447},doi={10.1109/JSTARS.2017.2696823},ISSN={},month={Aug},}