Maritime detection framework 2.0: a new approach of maritime target detection in electro-optical sensors

Author(s):  
Judith Dijk ◽  
Nanda van der Stap ◽  
Bas van den Broek ◽  
Raimon Pruim ◽  
Klamer Schutte ◽  
...  
2014 ◽  
Vol 654 ◽  
pp. 300-303
Author(s):  
Geng Kun Wu ◽  
Guang Rong Ji ◽  
Hong Xia Ren

To understand the influence of sea clutter on radar target detection, this paper simulates three typical backscattering coefficient models, i.e. GIT, TSC and HYB. Also, it proposes a new approach to evaluate the fitting degree between TSM and the three backscattering coefficient models. Finally, this paper gives the applicability of different models in the calculation of electromagnetic scattering.


Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 47
Author(s):  
Matteo Moscadelli ◽  
Nicola Acito ◽  
Marco Diani ◽  
Giovanni Corsini

In this work, we present a new approach to detect materials with known spectral emissivity, in data acquired by thermal infrared hyperspectral systems. The method takes into account the spectral variability of the downwelling radiance, commonly neglected in most target detection techniques. We address such variability supposing that the downwelling radiance spans a low-rank subspace, whose basis matrix is learned off-line by means of MODTRAN. We evaluate the performance of the method with simulated data, and present results that show the effectiveness of the proposed algorithm.


Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3570 ◽  
Author(s):  
Guanying Huo ◽  
Ziyin Wu ◽  
Jiabiao Li ◽  
Shoujun Li

To better solve the problem of target detection in marine environment and to deal with the difficulty of 3D reconstruction of underwater target, a binocular vision-based underwater target detection and 3D reconstruction system is proposed in this paper. Two optical sensors are used as the vision of the system. Firstly, denoising and color restoration are performed on the image sequence acquired by the vision of the system and the underwater target is segmented and extracted according to the image saliency using the super-pixel segmentation method. Secondly, aiming to reduce mismatch, we improve the semi-global stereo matching method by strictly constraining the matching in the valid target area and then optimizing the basic disparity map within each super-pixel area using the least squares fitting interpolation method. Finally, based on the optimized disparity map, triangulation principle is used to calculate the three-dimensional data of the target and the 3D structure and color information of the target can be given by MeshLab. The experimental results show that for a specific size underwater target, the system can achieve higher measurement accuracy and better 3D reconstruction effect within a suitable distance.


2021 ◽  
Vol 8 ◽  
Author(s):  
Sebastián Alberti ◽  
Jana Jágerská

Integrated opto-chemical sensors present great advantages in comparison to the current lab equipment. They bring portability, reduced costs, facilitate in-situ measurements, as well as largely reduced sample volumes. In this quest, standard processing protocols over established materials, such as silicon nitride, silicon, silicon dioxide, titanium oxide, and even a wide variety of polymers have so far been the key toward on-chip devices. However, if very specific materials in terms of composition and tailored properties are required, the deposition via a solution represents a viable alternative. In this review, we highlight the role of sol-gel chemistry and top-down processing of sol-gel thin film layers in the design of waveguide-based optical sensors. In particular, we stress the advantages of porous sol-gel based materials as a new approach to increase sensitivity and selectivity, first when used as claddings, and, more recently, as waveguides with enhanced light–analyte interaction. We finally discuss the future perspectives of such devices to increase specificity in complex matrices, which is of utmost importance for bio-sensing.


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