NIR/RGB image fusion for scene classification using deep neural networks
Near-infrared (NIR) imaging can add very useful data to many visible range image
processing applications. In this paper, new fusion techniques are proposed to benefit from …
processing applications. In this paper, new fusion techniques are proposed to benefit from …
Research on advanced methods of electrochemiluminescence detection combined with optical imaging analysis for the detection of sulfonamides
C Liu, D Song, Z Yang, Z Wang, P Pan, J Liu, X Yang… - Analyst, 2021 - pubs.rsc.org
In this study, a novel method that combines electrochemiluminescence (ECL) analysis and
digital image processing was developed for the detection of sulfonamides. This method is …
digital image processing was developed for the detection of sulfonamides. This method is …
Ensemble learning for multispectral scene classification
In the recent decades, various techniques based on deep convolutional neural networks
(DCNNs) have been applied to scene classification. Most of the techniques are established …
(DCNNs) have been applied to scene classification. Most of the techniques are established …
Scene recognition in new multi-spectral dataset (RGB-IR) and deep convolutional networks with transfer learning approach
In recent decades, various techniques in the field of computer vision have been proposed to
classify and identify scenes in different spaces on visible spectrum images. Recently …
classify and identify scenes in different spaces on visible spectrum images. Recently …
Multi-scale RGB and NIR image Cross-fusion based on Generative Adversarial Network
S Xiang, Z Hu, H Deng, J Wu - 2023 35th Chinese Control and …, 2023 - ieeexplore.ieee.org
Fusing the RGB and NIR images can improve the visibility and perception quality. In this
task, enhancing details and keeping color fidelity are of the most importance. To achieve this …
task, enhancing details and keeping color fidelity are of the most importance. To achieve this …