3D Stereo Imaging of Sea Ice from Ships

摘要PI：Chandra Kambhamettu提案编号：0636726标题：来自船舶的海冰3D立体成像极地计划办公室，南极科学司，海洋气候系统计划已经取得了这个奖项，以支持数字相机在视觉和近红外线中的应用&。红色波长，同时开发软件，以立体和定量地捕捉人类视觉数十年来观察到的海冰分布和厚度在极地地区。 总体目标是通过定量增强通常由人类完成的基于船舶的海冰观测来提高对海冰厚度变化的理解。 在过去的五年里，数字摄影和计算机技术，速度和数据存储的进步，现在可以应用计算机视觉领域的技术来确定海冰表面的地形，粗糙度和特征表征。 研究人员将创建一个软件系统，用于渲染三维海冰地形，最大距离为100米，从一艘移动的船的侧面倾斜。 四个摄像机（两个可见光和两个近红外）图像的序列将被简化为估计的x，y，z值的合成图。 复合字段将具有提供关于每个数据点的精度的信息的相关联的不确定性图和包含Meta信息的数据报头，所述元信息包括图像的数量、相机规格和全球定位信息。 该系统将经历一个开发阶段，包括在河冰环境中部署，然后在南极洲的一艘船上部署，作为对概念的进一步测试。 它有可能为LIDAR系统、基于冰芯的确定以及部署在上视声纳上的系泊或自主车辆提供经济有效的补充，这些系统目前用于确定海冰厚度，这是一个必不可少但迄今为止比表面积更难以捉摸的海冰变量。该项目将支持博士学位。学生，用于新的大学课程开发和开发一个产品，可以集成到现有的NSF支持的三维GIS可视化工具称为EarthSlot（http：//www.earthslot.org/）。

AbstractPI: Chandra Kambhamettu Proposal Number: 0636726 Title: 3D Stereo Imaging of Sea Ice from Ships The Office of Polar Programs, Antarctic Science Division, Ocean & Climate Systems Program has made this award to support application of digital cameras in the visual and near infra-red wavelengths with accompanying development of software to stereoscopically and quantitatively capture what human vision has observed for decades regarding sea ice distributions and thickness in the polar regions. The overarching goal is to improve understanding of sea ice thickness variability by quantitatively enhancing ship-based sea ice observations typically done by humans. Advances in digital photography and computer technology, speed, and data storage over the past five years now make it feasible to apply techniques from the field of computer vision to the determination of sea ice surface topography, roughness, and feature characterization. The investigators will create software system for rendering three-dimensional sea ice topography to a maximum distance of 100 m obliquely from the side of a moving ship. A sequence of four-camera (two visual and two near infra-red) images will be reduced to a composite map of estimated x, y, z values. The composite field will have an associated uncertainty map providing information about the precision of each data point and a data header containing meta information including number of images, camera specifications, and global positioning information. The system will undergo a development phase to include deployment in a river ice setting and then be deployed from a ship in Antarctica as a further test of concept.Broader ImpactsThis technology will provide swath-type information at the local scale that can be accumulated and applied to satellite algorithm and model validation. It has the potential to provide an economical and effective supplement to LIDAR systems, ice core based determinations, and moored or autonomous vehicle deployed upward looking sonar, which are currently used to determine sea ice thickness, an essential but until now more elusive sea ice variable than surface area. This project will support a Ph.D. student, be used in new college course development and develop a product that can be integrated into the existing NSF-supported 3D GIS visualization tool called EarthSlot (http://www.earthslot.org/).