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Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The novel spatial fusion approach demonstrated here can be easily extended to a wide variety of other challenging object search and detection problems in large-scale remote sensing image datasets. ...
We demonstrate the utility of this approach for broad area search and detection of Surface-to-Air Missile (SAM) sites that have a very low occurrence rate (only 16 sites) over a ∼90,000 km 2 study area ...
Fig. 1 : 1 Fig. 1: Example Surface-to-Air Missile (SAM) Site with smaller-scale Launch Pad and TEL Group component objects. ...
doi:10.1109/jstars.2020.3015662
fatcat:kub7px2k7jflvanayeekp2krti
Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
[article]
2020
arXiv
pre-print
The novel spatial fusion approach demonstrated here can be easily extended to a wide variety of other challenging object search and detection problems in large-scale remote sensing image datasets. ...
We demonstrate the utility of this approach for broad area search and detection of Surface-to-Air Missile (SAM) sites that have a very low occurrence rate (only 16 sites) over a 90,000 km^2 study area ...
This new framework can be easily adapted or extended to a variety of other challenging object search and detection problems in large-scale remote sensing image datasets.
II. ...
arXiv:2003.10566v3
fatcat:ihomqytfujakjfmptt6v6yyrey
Rapid broad area search and detection of Chinese surface-to-air missile sites using deep convolutional neural networks
2017
Journal of Applied Remote Sensing
Rapid broad area search and detection of Chinese surface-to-air missile sites using deep convolutional neural networks," J. Abstract. ...
Various DCNN were trained and tested using fewer than 100 positive training examples (China only) from a worldwide surface-to-air-missile (SAM) site dataset. ...
Acknowledgments The authors wish to express our "deep" appreciation to the DigitalGlobe Foundation for providing access to the DigitalGlobe Maps API platform. This research study simply would not have ...
doi:10.1117/1.jrs.11.042614
fatcat:aqnxf4yn3jahfpyy66di5eokum
AFOSR research programs in image fusion
2000
Proceedings of the Third International Conference on Information Fusion
These programs are presented in context of Air Force technology needs for targeting, image exploitation, and autonomous systems. ...
Air Force Office of Scientific Research supports basic research in image fusion within several programs. ...
Application domains include engineering design reuse, 3D object recognition, sensory motor control and navigation, and others, including satellite remote sensing. ...
doi:10.1109/ific.2000.862665
fatcat:3qeuqkjoxbdrfgaqir7zo22k4y
Front Matter: Volume 6788
2007
MIPPR 2007: Pattern Recognition and Computer Vision
SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on CD-ROM. ...
Utilization of CIDs allows articles to be fully citable as soon they are published online, and connects the same identifier to all online, print, and electronic versions of the publication. ...
Important and novel tools in signal processing and machine learning will be presented and applied to remote sensing, GIS data processing, automatic target recognition, biometrics, medical imaging, and ...
doi:10.1117/12.781925
fatcat:wj43dthy7rbfdjxqwnsh2yrbne
Applications of Lasers for Tactical Military Operations
2017
IEEE Access
Also, this spectrum is hard-pressed to meet the current bandwidth requirement for high-resolution images, on-air video conferencing and real-time data transfer. ...
In this paper, we are providing our readers with a comprehensive study of laser applications, used by the military, to carry out tactical operations on the ground or space-based platforms. ...
With the advent of chemicals and biological weapons, DIAL system is very beneficial for spacebased remote sensing applications to detect a wide variety of chemical compounds, present in the air, that would ...
doi:10.1109/access.2017.2755678
fatcat:swj4r2xxe5hovnfhmqtro5t4wy
Remote Sensing in Social Science Research~!2009-12-28~!2010-03-26~!2010-06-25~!
2010
The Open Remote Sensing Journal
Since the early days of satellite remote sensing in the 1950's, accessibility, quality, and scope of remote sensing image data has been continuously improving, making it a rich data source with a wide ...
This paper investigates 1) how remote sensing data has been put to use in social science studies, and 2) how social science could better utilize the huge potential of remote sensing data. ...
Recently, they started using LIDAR (Laser Imaging Detection and Ranging) techniques, which have proven useful in detecting archaeological sites covered by vegetation and surface disturbances [70] . ...
doi:10.2174/1875413901003010001
fatcat:b4bij2imqnhsfmdw7i6j6ilyce
System Choice for Data Processing, Analysis and Applications in Defence
1995
Defence Science Journal
Usually, the base data is from high resolution remote sensing systems, both airborne and spaceborne, and also from conventional sources, like topomap and other intelligence gathering mechanisms. ...
needed for image interpretation and analysis. ...
This involves planning of an air route for the aircraft which enables him to destroy the target and come back safely escaping from the threats caused by surface-to-air missiles, antiaircarft artillery ...
doi:10.14429/dsj.45.4133
fatcat:chqhgqyugzh5lfho6mxsj2qi3a
2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
., +, JSTARS 2020 5011-5026 Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections From Deep Neural Networks. ...
., +, JSTARS 2020
5508-5517
Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spa-
tial Fusion of Component Object Detections From Deep Neural Networks. ...
A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020 ...
doi:10.1109/jstars.2021.3050695
fatcat:ycd5qt66xrgqfewcr6ygsqcl2y
Machine-aided photo interpretation techniques for vegetation analysis
1970
Journal of Spacecraft and Rockets
remote sensing data. ...
Efficient data handling schemes are needed to keep pace with the rates at which such missions can collect and subsequently return or transmit remotely sensed data. ...
doi:10.2514/3.30172
fatcat:lbye347wi5b65mlbrryhhzkou4
CMOS Image Sensors in Surveillance System Applications
2021
Sensors
Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance ...
, dynamic range, signal-to- noise ratio, and also processing technology. ...
Acknowledgments: The authors acknowledge the University of Bridgeport for providing the necessary resources to carry this research conducted under the supervision of Khaled Elleithy. ...
doi:10.3390/s21020488
pmid:33445557
pmcid:PMC7827463
fatcat:3ra3bfipfngzfnqg4hhazodhtu
Adaptive remote sensing with HF skywave radar
1992
IEE Proceedings F Radar and Signal Processing
Inevitably, as the radar evolved into a facility owned and operated by the Royal Australian Air Force, the remote sensing mission had to compete with surveillance tasks with higher priorities and the quality ...
Early programs focused exclusively on military capabilities, such as the detection of aircraft, missiles and ships, but in 1974 a team was formed to design a new OTHR for which a remote sensing mission ...
Acknowledgments The Jindalee radars are the product of many talented scientists and engineers with whom the present author is proud to have been associated. ...
doi:10.1049/ip-f-2.1992.0022
fatcat:ys7fz5jbjrgfrf2qvxpohkvdoe
Remote sensing applications of HF skywave radar: The Australian experience
2010
Turkish Journal of Electrical Engineering and Computer Sciences
Inevitably, as the radar evolved into a facility owned and operated by the Royal Australian Air Force, the remote sensing mission had to compete with surveillance tasks with higher priorities and the quality ...
Early programs focused exclusively on military capabilities, such as the detection of aircraft, missiles and ships, but in 1974 a team was formed to design a new OTHR for which a remote sensing mission ...
Acknowledgments The Jindalee radars are the product of many talented scientists and engineers with whom the present author is proud to have been associated. ...
doi:10.3906/elk-0912-5
fatcat:worygqnyondi3jcohy3fdjv3la
Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest
2013
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
use SAR and LiDAR data for image interpretation and change detection, and (iii) radiosity methods to improve surface reflectance retrievals of optical data in complex illumination environments. ...
The 2012 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the potential use of very high spatial ...
remote sensing images can offer. ...
doi:10.1109/jstars.2013.2245860
fatcat:i5pcmwngy5hpjaf7huux7gkvqm
Atlas of Shipwrecks in Inner Ionian Sea (Greece): A Remote Sensing Approach
2020
Heritage
The marine remote sensing sensors include: side scan sonars, sub-bottom profilers and multi-beam echo-sounders. ...
A total of 11 out of 36 known shipwrecks in the area have been systematically studied using marine remote sensing and ground truthing techniques. ...
We would also like to thank John Wills for providing us with the sonograph of HMS Chamois. ...
doi:10.3390/heritage3040067
fatcat:zra4rq6me5brjhdrppsukkaehi
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