Thermal Airborne Optical Sectioning

We apply a multi-spectral (RGB and thermal) camera drone for synthetic aperture imaging to computationally remove occluding vegetation for revealing hidden objects, as required in archeology, search-and-rescue, animal inspection, and border control applications. The radiated heat signal of strongly occluded targets, such as a human bodies hidden in dense shrub, can be made visible by integrating multiple thermal recordings from slightly different perspectives, while being entirely invisible in RGB recordings or unidentifiable in single thermal images. We collect bits of heat radiation through the occluder volume over a wide synthetic aperture range and computationally combine them to a clear image. This requires precise estimation of the drone’s position and orientation for each capturing pose, which is supported by applying computer vision algorithms on the high resolution RGB images.

[1]  Christos Papachristos,et al.  Thermal-Inertial Localization for Autonomous Navigation of Aerial Robots through Obscurants , 2018, 2018 International Conference on Unmanned Aircraft Systems (ICUAS).

[2]  Luigi di Stefano,et al.  Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Clemens Birklbauer,et al.  Rendering Gigaray Light Fields , 2013, Comput. Graph. Forum.

[4]  Z. Barber,et al.  Synthetic aperture ladar imaging demonstrations and information at very low return levels. , 2014, Applied optics.

[5]  David J. Kriegman,et al.  Synthetic Aperture Tracking: Tracking through Occlusions , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[6]  Marc Levoy,et al.  Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[7]  I. Hajnsek,et al.  A tutorial on synthetic aperture radar , 2013, IEEE Geoscience and Remote Sensing Magazine.

[8]  Gregg E. Trahey,et al.  Synthetic tracked aperture ultrasound imaging: design, simulation, and experimental evaluation , 2016, Journal of medical imaging.

[9]  Stephen A. Boppart,et al.  Interferometric synthetic aperture microscopy (ISAM) , 2015 .

[10]  Stephen A. Boppart,et al.  Interferometric Synthetic Aperture Microscopy , 2007, OFC/NFOEC 2008 - 2008 Conference on Optical Fiber Communication/National Fiber Optic Engineers Conference.

[11]  Oliver Bimber,et al.  A Statistical View on Synthetic Aperture Imaging for Occlusion Removal , 2019, IEEE Sensors Journal.

[12]  Qionghai Dai,et al.  Synthetic Aperture Based on Plenoptic Camera for Seeing Through Occlusions , 2018, PCM.

[13]  Tiphaine Lagadec,et al.  Optical aperture synthesis with electronically connected telescopes , 2015, Nature communications.

[14]  Marc Levoy,et al.  Using plane + parallax for calibrating dense camera arrays , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[15]  Fuk K. Li,et al.  Synthetic aperture radar interferometry , 2000, Proceedings of the IEEE.

[16]  Jan-Michael Frahm,et al.  Structure-from-Motion Revisited , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[17]  Sidan Du,et al.  Modeling the occlusion problem in thermal imaging to allow seeing through mist and foliage. , 2019, Journal of the Optical Society of America. A, Optics, image science, and vision.

[18]  M.P. Hayes,et al.  Synthetic Aperture Sonar: A Review of Current Status , 2009, IEEE Journal of Oceanic Engineering.

[19]  Miao Ma,et al.  Occluded-Object 3D Reconstruction Using Camera Array Synthetic Aperture Imaging , 2019, Sensors.

[20]  Linda Marchese,et al.  Synthetic aperture lidar as a future tool for earth observation , 2017, International Conference on Space Optics.

[21]  Alexei A. Efros,et al.  Depth Estimation with Occlusion Modeling Using Light-Field Cameras , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[22]  Hao Ling,et al.  Synthetic aperture radar imaging using a small consumer drone , 2015, 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting.

[23]  Pritam Prakash Shete,et al.  Scalable high resolution panorama composition on data wall system , 2018, 2018 International Conference on Communication information and Computing Technology (ICCICT).

[24]  Yanning Zhang,et al.  Kinect based real-time synthetic aperture imaging through occlusion , 2015, Multimedia Tools and Applications.

[25]  R. Hansen Introduction to Synthetic Aperture Sonar , 2011 .

[26]  Oliver Bimber,et al.  Synthetic Aperture Imaging With Drones , 2019, IEEE Computer Graphics and Applications.

[27]  Rui Yu,et al.  All-In-Focus Synthetic Aperture Imaging , 2014, ECCV.

[28]  Yanning Zhang,et al.  Synthetic aperture imaging using pixel labeling via energy minimization , 2013, Pattern Recognit..

[29]  Jørgen Arendt Jensen,et al.  Synthetic aperture ultrasound imaging. , 2006, Ultrasonics.

[30]  Amir Leshem,et al.  Synthetic aperture radio telescopes , 2010, IEEE Signal Processing Magazine.

[31]  Oliver Bimber,et al.  Airborne Optical Sectioning , 2018, J. Imaging.