Paradigm shifts in super-resolution techniques for remote sensing applications
Super-resolution (SR) algorithms have now become a bottleneck for several remote sensing
applications. SR is a technique that enhances minute details of the image by increasing …
applications. SR is a technique that enhances minute details of the image by increasing …
Satellite image detection and classification using hybrid segmentation and feature extraction with enhanced probabilistic neural network
NB Devi, BB Beenarani, E Sivanantham - Earth Science Informatics, 2023 - Springer
Abstract Satellite Image Processing is a vital field of research and development that involves
the processing of images of the Earth and satellites obtained by artificial satellites. Images …
the processing of images of the Earth and satellites obtained by artificial satellites. Images …
Super-Resolution Reconstruction of Remote Sensing Images of the China–Myanmar Pipeline Based on Generative Adversarial Network
Y Jiang, Q Ren, Y Ren, H Liu, S Dong, Y Ma - Sustainability, 2023 - mdpi.com
The safety monitoring and early warning of overseas oil and gas pipelines are essential for
China, as these pipelines serve as significant energy channels. The route of the China …
China, as these pipelines serve as significant energy channels. The route of the China …
Single picture super resolution of natural images using N-Neighbor Adaptive Bilinear Interpolation and absolute asymmetry based wavelet hard thresholding
D Suresha, HN Prakash - 2016 2nd International Conference …, 2016 - ieeexplore.ieee.org
This paper exhibits high definition picture era in single picture super resolution technique for
enhancing the resolution of natural pictures. High definition picture plays a crucial role in …
enhancing the resolution of natural pictures. High definition picture plays a crucial role in …
Image Magnification with Multi-Level Contour Constraints
S Wang, S Gao, N Guo, C Zhang - Journal of Computer-Aided Design & …, 2019 - jcad.cn
Effective edge sharpening in image enlargement is always a difficult problem in image
interpolation, and in order to solve this problem, an image enlargement algorithm with multi …
interpolation, and in order to solve this problem, an image enlargement algorithm with multi …
[PDF][PDF] Data content weighing for subjective versus objective picture quality assessment of natural pictures
D Suresha, HN Prakash - … Journal of Image, Graphics and Signal …, 2017 - mecs-press.net
Estimating the visual quality of picture is a real challenge for various picture and video frame
applications. The aim is to evaluate the quality of picture automatically in both subjective …
applications. The aim is to evaluate the quality of picture automatically in both subjective …
[图书][B] Super-Resolution for Remote Sensing Applications Using Deep Learning Techniques
Satellite image processing is crucial in detecting vegetation, clouds, and other atmospheric
applications. Due to sensor limitations and pre-processing, remotely sensed satellite images …
applications. Due to sensor limitations and pre-processing, remotely sensed satellite images …
多层次轮廓约束的图像放大算法
王珊， 高珊珊， 郭宁宁， 张彩明 - 计算机辅助设计与图形学学报, 2019 - jcad.cn
为解决图像放大过程中有效地保证边缘锐化的图像插值难题, 提出多层次轮廓约束的图像放大
算法. 首先利用检测算子对图像进行预处理, 将图像分为边缘区域, 平坦区域; 其次 …
算法. 首先利用检测算子对图像进行预处理, 将图像分为边缘区域, 平坦区域; 其次 …