PROCEEDINGS VOLUME 10199
SPIE DEFENSE + SECURITY | 9-13 APRIL 2017
Geospatial Informatics, Fusion, and Motion Video Analytics VII
IN THIS VOLUME

4 Sessions, 15 Papers, 12 Presentations
Proceedings Volume 10199 is from: Logo
SPIE DEFENSE + SECURITY
9-13 April 2017
Anaheim, California, United States
Front Matter: Volume 10199
Proc. SPIE 10199, Front Matter: Volume 10199, 1019901 (30 May 2017); doi: 10.1117/12.2270666
Video Analysis
Proc. SPIE 10199, Pilot study on real-time motion detection in UAS video data by human observer and image exploitation algorithm, 1019903 (1 May 2017); doi: 10.1117/12.2262477
Proc. SPIE 10199, Data transpositioning with content-based image retrieval, 1019904 (1 May 2017); doi: 10.1117/12.2264116
Proc. SPIE 10199, An analysis of optical flow on real and simulated data with degradations, 1019905 (1 May 2017); doi: 10.1117/12.2265850
Proc. SPIE 10199, Geopositioning with a quadcopter: extracted feature locations and predicted accuracy without a priori sensor attitude information, 1019906 (1 May 2017); doi: 10.1117/12.2263856
Photogrammetry and Uncertainty Propagation
Proc. SPIE 10199, Using image quality metrics to identify adversarial imagery for deep learning networks, 1019907 (1 May 2017); doi: 10.1117/12.2263584
Proc. SPIE 10199, Methods for the specification and validation of geolocation accuracy and predicted accuracy, 1019908 (1 May 2017); doi: 10.1117/12.2263855
Proc. SPIE 10199, Three-dimensional scene reconstruction from a two-dimensional image, 1019909 (1 May 2017); doi: 10.1117/12.2266411
Proc. SPIE 10199, Correlation-agnostic fusion for improved uncertainty estimation in multi-view geo-location from UAVs, 101990A (1 May 2017); doi: 10.1117/12.2262166
Geospatial Analysis
Proc. SPIE 10199, Geoparsing text for characterizing urban operational environments through machine learning techniques, 101990C (1 May 2017); doi: 10.1117/12.2262808
Proc. SPIE 10199, A machine learning pipeline for automated registration and classification of 3D lidar data, 101990D (1 May 2017); doi: 10.1117/12.2262872
Proc. SPIE 10199, General linear hypothesis test: a method for algorithm selection, 101990E (6 June 2017); doi: 10.1117/12.2262929
Proc. SPIE 10199, Matrix sketching for big data reduction (Conference Presentation), 101990F (6 June 2017); doi: 10.1117/12.2262937
Proc. SPIE 10199, Double-density and dual-tree based methods for image super resolution, 101990G (6 June 2017); doi: 10.1117/12.2262940
Proc. SPIE 10199, Standardized acquisition, storing and provision of 3D enabled spatial data, 101990H (1 May 2017); doi: 10.1117/12.2262492
Proc. SPIE 10199, Concept for a common operational picture in a guidance vehicle, 101990I (1 May 2017); doi: 10.1117/12.2263430
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