Results 41 to 50 of about 5,054,495 (195)

Kép- és videójavító alkalmazás Real-ESRGAN neurális hálózatra építve

, 2023
A dolgozat bemutat egy felhasználói felület létrehozását. Amely a Real-ESRGAN képjavítási és modell tanítással kapcsolatos funkciói köre épül. Azzal az céllal, hogy megkönnyítse ezen funkciók használatát.
Simon, Mihály Miklós
core  

Super‐Resolution of Planetary Images Based on Generative Adversarial Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Currently, satellite imagery serves as the primary means of observing terrestrial planets such as the Mars, the Moon, and Mercury. Enhancing the resolution and quality of these images can provide more detailed insights into planetary surfaces. However, improvements in image quality are often limited by the constraints of sensor technology and ...
Xiaoran Zhang, Yiran Wang, Miao Zhuo
wiley   +1 more source

Three-dimensional ESRGAN for super-resolution reconstruction of turbulent flows with tricubic interpolation-based transfer learning [PDF]

, 2022
[EN] Turbulence is a complicated phenomenon because of its chaotic behavior with multiple spatiotemporal scales. Turbulence also has irregularity and diffusivity, making predicting and reconstructing turbulence more challenging.
Lim, Hee-Chang, Hee-Chang Lim, Mustafa Z. Yousif, Yu, Linqi,, Meng Zhang, Hoyas, Sergio, Yousif, Mustafa Z.,, Yousif, Mustafa Z., Hoyas, Sergio,, Zhang, Meng,, Yu, Linqui, Vinuesa, Ricardo, Sergio Hoyas, Linqi Yu, Vinuesa, Ricardo,, Lim, Hee-Chang,, Zhang, Meng, Ricardo Vinuesa   +17 more
core   +1 more source

Garryanalyzer: A morphometric workflow and open‐source ImageJ plug‐in for quantitative morphological analysis of Pacific Northwest Quercus leaves

Applications in Plant Sciences, Volume 14, Issue 4, July-August 2026.
Abstract Premise Accurate species identification is crucial for ecological restoration and can be especially challenging for understudied non‐model species. Quercus garryana is the only native oak species in the Pacific Northwest and is an important component of the endangered oak savanna ecosystem.
Ziqi Xie, Tan Bahar, Keith Karoly
wiley   +1 more source

Terrestrial Ecosystem Detection Based on Deep Learning Framework and Satellite Image Geographical Information

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong, Fan Lei, Dongliang Huang, Yuye Gong, Jide Wei, Wenjing She   +5 more
wiley   +1 more source

Assessing the Impact of Spatial Resolution and Hyperparameters on Automatic Agricultural Parcel Delineation Using the Segment Anything Model With Multi‐Resolution and Super‐Resolved Satellite Imagery

Transactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Accurate and automatic determination of the boundaries of agricultural parcels is essential for planning sustainable agricultural policies, managing agricultural production, tracking products and enabling precision farming applications. In recent years, pre‐trained visual base models with zero‐shot segmentation capabilities, such as the ...
Fatih Fehmi Şimşek, Melih Altay, Kaan Kalkan, Mehmet Cengiz Arslanoğlu   +3 more
wiley   +1 more source

From Early Models to Modern Techniques: A Deep Learning Survey on Single Image Super-Resolution [PDF]

ITM Web of Conferences
The primary goal of Single Image Super-Resolution (SISR), a fundamental yet challenging computer vision task with several practical applications in domains such as surveillance, medical imaging, and remote sensing, is to reconstruct a high-resolution (HR)
Li Haorui
doaj   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Tree Species Classification in UAV Remote Sensing Images Based on Super-Resolution Reconstruction and Deep Learning

Remote Sensing, 2023
We studied the use of self-attention mechanism networks (SAN) and convolutional neural networks (CNNs) for forest tree species classification using unmanned aerial vehicle (UAV) remote sensing imagery in Dongtai Forest Farm, Jiangsu Province, China.
Yingkang Huang, Xiaorong Wen, Yuanyun Gao, Yanli Zhang, Guozhong Lin   +4 more
doaj   +1 more source

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

Advanced Science, Volume 13, Issue 14, 9 March 2026.
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao, Jiakang Shao, Quanzhi Li, Yizhou Tan, Liangliang Huang, Xiaorong Xu, Ji Qi, Julin Xiao, Wenwen Li, Zhong Wen, Le Wang, Xu Liu, Qing Yang, Ying Gu   +13 more
wiley   +1 more source