Results 41 to 50 of about 4,853,764 (304)
CGC-Net: A Context-Guided Constrained Network for Remote-Sensing Image Super Resolution
In remote-sensing image processing tasks, images with higher resolution always result in better performance on downstream tasks, such as scene classification and object segmentation. However, objects in remote-sensing images often have low resolution and
Pengcheng Zheng +5 more
doaj +1 more source
Spectral–Spatial HyperspectralImage Classification With K-Nearest Neighbor and Guided Filter
Explosive growth of applications in hyperspectral image (HSI) has made HSI classification a hot topic in the remote sensing community. The key to improve classification accuracy is how to make full use of the spectral and spatial information.
Yanhui Guo +4 more
doaj +1 more source
Frequency-Based Haze and Rain Removal Network (FHRR-Net) with Deep Convolutional Encoder-Decoder
Removing haze or rain is one of the difficult problems in computer vision applications. On real-world road images, haze and rain often occur together, but traditional methods cannot solve this imaging problem.
Dong Hwan Kim +4 more
doaj +1 more source
SAMM: Surroundedness and Absorption Markov Model Based Visual Saliency Detection in Images
In this paper, we propose a saliency detection method (SAMM) by using the surroundedness and absorption Markov model. First, the approximate area of the salient object is predicted by the surroundedness to the eye fixation point prediction.
Zhenguo Gao +4 more
doaj +1 more source
Hyperspectral Anomaly Detection via Sparse Representation and Collaborative Representation
Sparse representation (SR)-based approaches and collaborative representation (CR)-based methods are proved to be effective to detect the anomalies in a hyperspectral image (HSI).
Sheng Lin +5 more
doaj +1 more source
SHARPNESS IMPROVEMENT OF MAGNETIC RESONANCE IMAGES USING A GUIDED-SUBSUMED UNSHARP MASK FILTER
Magnetic resonance imaging (MRI) is a key method for imaging human tissues and organs. The accuracy of medical diagnosis is greatly affected by the quality of MRI images.
Manar AL-ABAJI, Zohair AL-AMEEN
doaj +1 more source
An Efficient Algorithm to Highlight Details in Infrared and Visible Image Fusion
To improve the fusion quality of infrared and visible images and highlight target and scene details, in this paper, a novel infrared and visible image fusion algorithm is proposed.
Peijin Liu +3 more
doaj +1 more source
The bilateral filter (BF) is a non‐linear filter that spatially smooths images with awareness of large structures such as edges. The level of smoothness applied to a pixel is constrained by a photometric weight, which can be obtained from the same image to be filtered (in case of the original BF) or from a guided image (in case of the joint/cross BF ...
Ba Thai +3 more
openaire +1 more source
Hyperspectral image classification with SVM and guided filter
Hyperspectral image (HSI) classification has been long envisioned in the remote sensing community. Many methods have been proposed for HSI classification.
Yanhui Guo +4 more
semanticscholar +1 more source
ABSTRACT Introduction Patients requiring long‐term continuous renal replacement therapy (CRRT) generally have poor prognoses. This study evaluated whether adding continuous intravenous sodium infusion (cIVNa) is associated with improved hemodynamics and outcomes in patients undergoing long‐term CRRT for ≥ 7 days.
Akinori Yamaguchi +6 more
wiley +1 more source

