NDLI: GPU-CPU implementation for super-resolution mosaicking of Unmanned Aircraft System (UAS) surveillance video

Content Provider	IEEE Xplore Digital Library
Author	Camargo, A. Schultz, R.R. Yi Wang Fevig, R.A. Qiang He
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engineering, University of North Dakota, Grand Forks ND 58202 USA (Camargo, A.; Schultz, R.R.; Yi Wang) \|\| Department of Space Studies, University of North Dakota, Grand Forks ND 58202 USA (Fevig, R.A.) \|\| Department of Mathematics, Computer and Information Sciences, Mississippi Valley State Univ., Itta Bena MS 38941 USA (Qiang He)
Abstract	Unmanned Aircraft Systems (UAS) have been used in many military and civilian applications, particularly surveillance. One of the best ways to use the capacity of a UAS imaging system is by constructing a mosaic of the recorded video. In this paper, we present a novel algorithm to calculate a super-resolution mosaic for UAS, which is both fast and robust. In this algorithm, the features points between frames are found using SIFT (Scale-Invariant Feature Transform), and then RANSAC (Random Sample Consensus) is used to estimate the homography between two consecutive frames. Next, a low-resolution (LR) mosaic is computed. LR images are extracted from the LR mosaic, and then they are subtracted from the input frames to form LR error images. These images are used to compute an error mosaic. The regularization technique uses Huber prior information and is added to the error mosaic to form the superresolution (SR) mosaic. The proposed algorithm was implemented using both a GPU (Graphics Processing Unit) and a CPU (Central Processing Unit). The first part of the algorithm, which is the construction of the LR mosaic, is performed by the GPU, and the rest is performed by the CPU. As a result, there is a significant speed-up of the algorithm. The proposed algorithm has been tested in both the infrared (IR) and visible spectra, using real and synthetic data. The results for all these cases show a great improvement in resolution, with a PSNR of 41.10 dB for synthetic data, and greater visual detail for the real UAV surveillance data.
Starting Page	25
Ending Page	28
File Size	752879
Page Count	4
File Format	PDF
ISBN	9781424478019
e-ISBN	9781424478026
DOI	10.1109/SSIAI.2010.5483926
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unmanned aerial vehicles Surveillance Central Processing Unit Military aircraft Robustness Data mining Strontium Graphics Testing Infrared spectra Super-Resolution GPU Computer vision Huber Regularization Ill-Posed Inverse Problem Mosaic Parallel Programming
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Super-resolution mosaicking of UAV surveillance video

Isotropic Huber MRFS for structure super-resolution

Multi-frame super resolution via deep plug-and-play CNN regularization

Weaponization of lightweight UAS for support of military operations

Unmanned Aircraft System (UAS) standards development: RTCA SC-228 status

Design of a GaAs/Ge solar array for unmanned aerial vehicles

Payload technologies and applications for uninhabited air vehicles (UAVs)

Ethical issues with use of Drone aircraft

Assessing the Communication Issues Involved in Implemening High-Level Behaviors in Unmanned Aerial Vehicles

GPU-CPU implementation for super-resolution mosaicking of Unmanned Aircraft System (UAS) surveillance video

Similar Documents

Super-resolution mosaicking of UAV surveillance video

Isotropic Huber MRFS for structure super-resolution

Multi-frame super resolution via deep plug-and-play CNN regularization

Weaponization of lightweight UAS for support of military operations

Unmanned Aircraft System (UAS) standards development: RTCA SC-228 status

Design of a GaAs/Ge solar array for unmanned aerial vehicles

Payload technologies and applications for uninhabited air vehicles (UAVs)

Ethical issues with use of Drone aircraft

Assessing the Communication Issues Involved in Implemening High-Level Behaviors in Unmanned Aerial Vehicles

GPU-CPU implementation for super-resolution mosaicking of Unmanned Aircraft System (UAS) surveillance video