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Julián E. Londoño-Londoño, Maria Teresa Condesso de Melo, João N. Nascimento and Ana C. F. Silva
Submarine Groundwater Discharge (SGD) is an essential process of the hydrological cycle by hydraulically connecting the land and sea. However, the occurrence, importance and effects of SGD remain largely underexplored. Here, we developed and validated a ...
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Shengguo Ge and Siti Nurulain Mohd Rum
The human body generates infrared radiation through the thermal movement of molecules. Based on this phenomenon, infrared images of the human body are often used for monitoring and tracking. Among them, key point location on infrared images of the human ...
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Alessandro Niccolai, Seyedamir Orooji, Andrea Matteri, Emanuele Ogliari and Sonia Leva
This work proposes and evaluates a method for the nowcasting of solar irradiance variability in multiple time horizons, namely 5, 10, and 15 min ahead. The method is based on a Convolutional Neural Network structure that exploits infrared sky images acqu...
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Lei Yu, Xuewei Zhang and Yan Chu
In this paper, an adaptive dual-regularization super-resolution reconstruction algorithm based on sub-pixel convolution (MPSR) is proposed. There are two novel features of the algorithm: First, the traditional regularization algorithm and sub-pixel convo...
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Svetlana V. Kalinicheva, Alexander N. Fedorov and Mikhail N. Zhelezniak
Intensive development of South Yakutia, a mountainous area in the Russian sporadic permafrost zone, must be founded on knowledge about regional permafrost conditions. New permafrost maps for mountainous areas in South Yakutia (the Elkon Mountains and the...
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Shuai Yang, Zhihui Zou, Yingchao Li, Haodong Shi and Qiang Fu
To address the issue of poor tracking accuracy and the low recognition rate for multiple small targets in infrared images caused by uneven image intensity, this paper proposes an accurate tracking algorithm based on optical flow estimation. The algorithm...
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Jaekyung Kim, Jungwoo Huh, Ingu Park, Junhyeong Bak, Donggeon Kim and Sanghoon Lee
Deep learning-based object detection is one of the most popular research topics. However, in cases where large-scale datasets are unavailable, the training of detection models remains challenging due to the data-driven characteristics of deep learning. S...
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Manikanta Prahlad Manda and Hi Seok Kim
Image thresholding is one of the fastest and most effective methods of detecting objects in infrared images. This paper proposes an infrared image thresholding method based on the functional approximation of the histogram. The one-dimensional histogram o...
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Xing Yi, Hao Pan, Huaici Zhao, Pengfei Liu, Canyu Zhang, Junpeng Wang and Hao Wang
Image generation technology is currently one of the popular directions in computer vision research, especially regarding infrared imaging, bearing critical applications in the military field. Existing algorithms for generating infrared images from visibl...
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Juan Chen, Zhencai Zhu, Haiying Hu, Lin Qiu, Zhenzhen Zheng and Lei Dong
Infrared (IR) Image preprocessing is aimed at image denoising and enhancement to help with small target detection. According to the sparse representation theory, the IR original image is low rank, and the coefficient shows a sparse character. The low ran...
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Giampaolo D?Alessandro, Pantea Tavakolian and Stefano Sfarra
The present review aims to analyze the application of infrared thermal imaging, aided by bio-heat models, as a tool for the diagnosis of skin and breast cancers. The state of the art of the related technical procedures, bio-heat transfer modeling, and th...
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Ninghao Shi, Yingze Zhao, Baixuan Zhao, Kaifeng Zheng, Yupeng Chen, Yuxin Qin, Weibiao Wang, Jinguang Lv and Jingqiu Liang
Infrared multispectral imaging technology can achieve the long-distance, wide-ranging and fast detection of target gas, and has been widely used in the fields of dangerous-gas detection and environmental monitoring. However, due to the difficulty in acqu...
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Charmaine Childs, Harriet Nwaizu, Oana Voloaca and Alex Shenfield
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Song-Hee Kang, Youngjin Choi and Jae Young Choi
In this paper, we propose a novel deep generative inpainting network (GIN) trained under the framework of generative adversarial learning, which is optimized for the restoration of cloud-disturbed satellite sea surface temperature (SST) imagery. The prop...
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Binal Panchotiya,Dippal Israni,Ritesh Patel
Pág. 30 - 36
Image fusion is a technique that combines two source images to generate more informative target image. It plays a vital role in medical image investigation, military, navigation, etc. visible images offer efficient texture detail with high spatial resolu...
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Renran Zhang, Yumin Su, Yifan Li, Lei Zhang and Jiaxiang Feng
Infrared and visible image fusion is a very effective way to solve the degradation of sea images for unmanned surface vessels (USVs). Fused images with more clarity and information are useful for the visual system of USVs, especially in harsh marine envi...
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Dorra Mahouachi and Moulay A. Akhloufi
Besides the many advances made in the facial detection and recognition fields, face recognition applied to visual images (VIS-FR) has received increasing interest in recent years, especially in the field of communication, identity authentication, public ...
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Fangbin Wang, Zini Wang, Zhong Chen, Darong Zhu, Xue Gong and Wanlin Cong
To overcome the deficiencies in segmenting hot spots from thermal infrared images, such as difficulty extracting the edge features, low accuracy, and a high missed detection rate, an improved Mask R-CNN photovoltaic hot spot thermal image segmentation al...
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Jianchao Wu, Changhang Xu, Baoxin Qi and Francisco C. Robles Hernandez
The main purpose of the current research is to pilot study the impact damage detection in a beam structure using infrared thermography. In this study, a beam structure, made of polyvinyl alcohol fiber reinforced engineering cementitious composite (PVA-EC...
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Dai Hanawa,Toshiki Morimoto,Shota Shimazaki,Kimio Oguchi
Pág. 33 - 38
In this research, we propose a method of improving on the accuracy of detecting nasal cavity location in far infrared images for non-contact measurement of human breathing. We found that although our previous method for far infrared imaging can detect re...
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