Results 21 to 30 of about 5,054,495 (195)
Integrating Real-ESRGAN with CNN Models for UAV Image Based Plant Disease Detection [PDF]
Sravya Malladi, Pranav Kulkarni
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Sistem Inspeksi Cacat pada Permukaan Kayu menggunakan Model Deteksi Obyek YOLOv5
ABSTRAK Permukaan kayu mengalami berbagai serangan serangga dan jamur, sehingga dapat menyebabkan cacat seperti pembusukan pada kayu yang berpengaruh terhadap kualitas dan harga jual kayu tersebut.
FITYANUL AKHYAR +2 more
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Kegagalan sistem deteksi kecelakaan pada kamera CCTV dapat berpengaruh pada peningkatan angka kematian di jalan raya. Penggunaan metode CNN dalam pembangunan sistem deteksi kecelakaan CCTV sudah banyak dilakukan sebelumnya.
Muhammad Fachry Ikhsal +2 more
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Research on an improved fish recognition algorithm based on YOLOX [PDF]
The key to the development of underwater resources is to detect underwater targets quickly and accurately in real time. However, due to the influence of light, the underwater image is easy to be distorted and the contrast is low and so on, which greatly ...
Liu Dongcai, Wen Xianhui, Zhou Youling
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Enhancing Urban UAV Photogrammetric Products Through Domain-Specific Training of the Real-ESRGAN Super-Resolution Model [PDF]
The growing demand for high-resolution geospatial data in urban environments necessitates advanced methods to improve the quality of spatial products derived from UAV photogrammetry. This study presents a deep learning–based framework for enhancing
M. Tavakoli +3 more
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A High-Quality Rice Leaf Disease Image Data Augmentation Method Based on a Dual GAN
Deep learning models need sufficient training samples to support them in the training process; otherwise, overfitting occurs, resulting in model failure.
Zhao Zhang, Quan Gao, Lirong Liu, Yun He
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Forest fires often have a devastating effect on the planet’s ecology. Accurate and rapid monitoring of forest fires has therefore become a major focus of current research.
Hongtao Zheng +7 more
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Study on Super-resolution Reconstruction Algorithm of Remote Sensing Images in Natural Scene [PDF]
Due to the lack of paired datasets in the field of remote sensing image super-resolution reconstruction,current methods obtain low resolution images by bicubic interpolation,in which the degradation model is too idealized,resulting in unsatisfied ...
CHEN Gui-qiang, HE Jun
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Underwater Image Super-Resolution using Generative Adversarial Network-based Model [PDF]
Single image super-resolution (SISR) models are able to enhance the resolution and visual quality of underwater images and contribute to a better understanding of underwater environments. The integration of these models in Autonomous Underwater Vehicles (
Aghelan, Alireza, Rouhani, Modjtaba
core +1 more source
Image Super-resolution Methods for FY-3E X-EUVI 195 Å Solar Images
Solar eruptions and the solar wind are sources of space weather disturbances, and extreme-ultraviolet (EUV) observations are widely used to research solar activity and space weather forecasts.
Qinglin Yang +4 more
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