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Ahad Alotaibi, Chris Chatwin and Phil Birch
In aerial surveillance systems, achieving optimal object detection precision is of paramount importance for effective monitoring and reconnaissance. This article presents a novel approach to enhance object detection accuracy through the integration of De...
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Ventrapragada Teju, Kambhampati Venkata Sowmya, Srinivasa Rao Kandula, Anca Stan and Ovidiu Petru Stan
Thermal imaging is a cutting-edge technology which has the capability to detect objects in any environmental conditions, such as smoke, fog, smog, etc. This technology finds its importance mainly during nighttime since it does not require light to detect...
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Zhixin Li, Desheng Wen, Zongxi Song, Tuochi Jiang, Weikang Zhang, Gang Liu and Xin Wei
Space target surveillance is a significant part of space defense, and is also important for maintaining national security. Imaging of the space targets is the direct method used to realize space target recognition. However, for long-range space targets, ...
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Xu Zhan, Xiaoling Zhang, Wensi Zhang, Yuetonghui Xu, Jun Shi, Shunjun Wei and Tianjiao Zeng
High-resolution and wide-swath (HRWS) synthetic aperture radar (SAR) is a promising technique for applications such as maritime surveillance. In the maritime environment, normally only a few targets such as ships are interested. However, before detecting...
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Charalampos S. Kouzinopoulos, Eleftheria Maria Pechlivani, Nikolaos Giakoumoglou, Alexios Papaioannou, Sotirios Pemas, Panagiotis Christakakis, Dimosthenis Ioannidis and Dimitrios Tzovaras
Citizen science reinforces the development of emergent tools for the surveillance, monitoring, and early detection of biological invasions, enhancing biosecurity resilience. The contribution of farmers and farm citizens is vital, as volunteers can streng...
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Ioannis Saradopoulos, Ilyas Potamitis, Antonios I. Konstantaras, Panagiotis Eliopoulos, Stavros Ntalampiras and Iraklis Rigakis
This study describes the development of an image-based insect trap diverging from the plug-in camera insect trap paradigm in that (a) it does not require manual annotation of images to learn how to count targeted pests, and (b) it self-disposes the captu...
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Houssem R. E. H. Bouchekara, Bashir O Sadiq, Sikiru O Zakariyya, Yusuf A. Sha?aban, Mohammad S. Shahriar and Musab M. Isah
Images taken by drones often must be preprocessed and stitched together due to the inherent noise, narrow imaging breadth, flying height, and angle of view. Conventional UAV feature-based image stitching techniques significantly rely on the quality of fe...
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Shijing Han, Xiaorui Dong, Xiangyang Hao and Shufeng Miao
Surveillance systems focus on the image itself, mainly from the perspective of computer vision, which lacks integration with geographic information. It is difficult to obtain the location, size, and other spatial information of moving objects from survei...
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Xiaoyue Luo, Yanhui Wang, Benhe Cai and Zhanxing Li
Previous research on moving object detection in traffic surveillance video has mostly adopted a single threshold to eliminate the noise caused by external environmental interference, resulting in low accuracy and low efficiency of moving object detection...
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Takuya Kishimoto, Hanwool Woo, Ren Komatsu, Yusuke Tamura, Hideki Tomita, Kenji Shimazoe, Atsushi Yamashita and Hajime Asama
In this paper, we propose a path planning method for the localization of radiation sources using a mobile robot equipped with an imaging gamma-ray detector, which has a field of view in all directions. The ability to detect and localize radiation sources...
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