Higher probability of detection of subsurface land mines with a single sensor using multiple polarized and unpolarized image fusion

2008 ◽  
Author(s):  
Aed El-Saba ◽  
Tadele Bezuayehu
Keyword(s):  
Image Fusion ◽  
Probability Of Detection ◽  
Land Mines ◽  
Single Sensor

scholarly journals Adaptive-SFSDAF for Spatiotemporal Image Fusion that Selectively Uses Class Abundance Change Information

2020 ◽  
Vol 12 (23) ◽  
pp. 3979
Author(s):  
Shuwei Hou ◽  
Wenfang Sun ◽  
Baolong Guo ◽  
Cheng Li ◽  
Xiaobo Li ◽  
...  
Keyword(s):  
Data Fusion ◽  
Image Fusion ◽  
Temporal Changes ◽  
Spectral Unmixing ◽  
Spatiotemporal Data ◽  
Fusion Method ◽  
Fusion Methods ◽  
Single Sensor ◽  
Primary Contribution ◽  
Detection Of Outliers

Many spatiotemporal image fusion methods in remote sensing have been developed to blend highly resolved spatial images and highly resolved temporal images to solve the problem of a trade-off between the spatial and temporal resolution from a single sensor. Yet, none of the spatiotemporal fusion methods considers how the various temporal changes between different pixels affect the performance of the fusion results; to develop an improved fusion method, these temporal changes need to be integrated into one framework. Adaptive-SFSDAF extends the existing fusion method that incorporates sub-pixel class fraction change information in Flexible Spatiotemporal DAta Fusion (SFSDAF) by modifying spectral unmixing to select spectral unmixing adaptively in order to greatly improve the efficiency of the algorithm. Accordingly, the main contributions of the proposed adaptive-SFSDAF method are twofold. One is to address the detection of outliers of temporal change in the image during the period between the origin and prediction dates, as these pixels are the most difficult to estimate and affect the performance of the spatiotemporal fusion methods. The other primary contribution is to establish an adaptive unmixing strategy according to the guided mask map, thus effectively eliminating a great number of insignificant unmixed pixels. The proposed method is compared with the state-of-the-art Flexible Spatiotemporal DAta Fusion (FSDAF), SFSDAF, FIT-FC, and Unmixing-Based Data Fusion (UBDF) methods, and the fusion accuracy is evaluated both quantitatively and visually. The experimental results show that adaptive-SFSDAF achieves outstanding performance in balancing computational efficiency and the accuracy of the fusion results.

Infrared Image and Visible Image Fusion Based on Wavelet Transform

2013 ◽  
Vol 756-759 ◽  
pp. 2850-2856 ◽  
Author(s):  
Ze Hua Zhou ◽  
Min Tan
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Infrared Image ◽  
Low Frequency ◽  
Visible Image ◽  
Detection And Identification ◽  
Single Sensor ◽  
Physical Phenomena ◽  
Image Fusion Method

The same scene, the infrared image and visible image fusion can concurrently take advantage of the original image information can overcome the limitations and differences of a single sensor image in terms of geometric, spectral and spatial resolution, to improve the quality of the image , which help to locate, identify and explain the physical phenomena and events. Put forward a kind of image fusion method based on wavelet transform. And for the wavelet decomposition of the frequency domain, respectively, discussed the principles of select high-frequency coefficients and low frequency coefficients, highlight the contours of parts and the weakening of the details section, fusion, image fusion has the characteristics of two or multiple images, more people or the visual characteristics of the machine, the image for further analysis and understanding, detection and identification or tracking of the target image.

scholarly journals Multispectral image fusion for detecting land mines

1995 ◽  
Author(s):  
Gregory A. Clark ◽  
Sailes K. Sengupta ◽  
William D. Aimonetti ◽  
Frank Roeske ◽  
John G. Donetti ◽  
...  
Keyword(s):  
Image Fusion ◽  
Multispectral Image ◽  
Land Mines

SYSTEMATIZATION OF THE CONDITIONS AND FACTORS THAT WILL AFFECT THE SPECIFIC TECHNICAL MEANS OF MINING OF THE UAVY VEHICLE

2019 ◽  
Vol 1 (12) ◽  
pp. 48-54
Author(s):  
V. Neroba
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Weather Conditions ◽  
Time Of Day ◽  
Probability Of Detection ◽  
Electromagnetic Spectrum ◽  
Land Mines ◽  
Electronic Warfare ◽  
Small Arms ◽  
Aerial Vehicle

The article investigates the conditions and factors that will affect the functioning of the specific mine exploration facilities when installed on an unmanned aerial vehicle. The analysis of conditions and factors was carried out with preliminary determination of the general performance indicators of the specific technical means of mine exploration, which include: the probability of detection and recognition of mines (contour of mines) by the operator (pilot operator) on the display screen; the scale of the image of the mine (contour of the mine) on the display screen; viewing angle of the specific technical means of exploration; transverse capture of terrain during aerial reconnaissance by means of a specific reconnaissance technical means; spectral range of operation of the specific technical means of exploration and height of exploration. As a result of the study, the following conditions and factors were included: unmanned aerial vehicle; the task of finding mines; features of the area where the mines are installed; pilot control (pilot); weather conditions; gusts of wind; season; time of day; use by the enemy of electronic suppression and electronic warfare, as well as conventional small arms against a drone; drones vibration during flight; turbulence of the atmosphere; the use of adversaries in the field of land mines and the creation of false minefields management of specific technical means of intelligence by the operator (pilot operator); temperature mode; availability of min signatures base. It is concluded that the results of the study of conditions and factors that will affect the functioning of the specific intelligence means are the basis for the development of relevant requirements for the specific intelligence means of the visible and infrared ranges of the electromagnetic spectrum.

1528: Improved Sentinel Node Detection and Pre-Operative Planning in Prostate Cancer by Image Fusion of CT/MRI and Spect

2005 ◽  
Vol 173 (4S) ◽  
pp. 414-414
Author(s):  
Frank G. Fuechsel ◽  
Agostino Mattei ◽  
Sebastian Warncke ◽  
Christian Baermann ◽  
Ernst Peter Ritter ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Sentinel Node ◽  
Image Fusion ◽  
Sentinel Node Detection ◽  
Operative Planning
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