Full-reference quality metric based on neural network to assess the visual quality of remote sensing images

O Ieremeiev, V Lukin, K Okarma, K Egiazarian - Remote Sensing, 2020 - mdpi.com
Remote sensing images are subject to different types of degradations. The visual quality of
such images is important because their visual inspection and analysis are still widely used …

Selection of lee filter window size based on despeckling efficiency prediction for sentinel SAR images

O Rubel, V Lukin, A Rubel, K Egiazarian - Remote sensing, 2021 - mdpi.com
Radar imaging has many advantages. Meanwhile, SAR images suffer from a noise-like
phenomenon called speckle. Many despeckling methods have been proposed to date but …

[HTML][HTML] The use of filters based on the Fast Fourier Transform applied to DEMs for the objective mapping of karstic features

A González-Díez, JA Barreda-Argüeso… - Geomorphology, 2021 - Elsevier
Abstract The suitability of Fast Fourier Transform (FFT) filters to delimit the objective location
of geomorphic references is analysed for the case of karstic landscapes, where altitudes …

A novel QIM-DCT based fusion approach for classification of remote sensing images via PSO and SVM models.

K Uma Maheswari, S Rajesh - Soft Computing-A Fusion of …, 2020 - search.ebscohost.com
Fusion of panchromatic and multispectral images has become a research interest for the
classification of remote sensing images. The spectral and spatial resolutions of different …

Modified Wiener Filter for Restoring Landsat Images in Remote Sensing Applications.

K Kalaivani… - Pertanika Journal of …, 2018 - search.ebscohost.com
Images are inherently affected by different noises such as, speckle, salt and pepper,
Gaussian, poisson, and white noise during its acquisition or transmission, hence, their true …

[PDF][PDF] A security risk on data storage in cloud based system–survey

G Nagarajan, KS Kumar - International Journal on Emerging …, 2019 - researchgate.net
Organizations sketchy to enjoy the benefits of cloud computing are having the option to use
the services and resources from a public cloud or to make their own private cloud …

Analysis of Image's De-noising Techniques for Linear Imaging and Self Scanning Sensor

N Pandey, SC Wariyal, B Rawat… - … Conference on Emerging …, 2024 - ieeexplore.ieee.org
Remote sensing detects, measures & gathers electromagnetic radiation reflected or emitted
by the Earth's surface in the form of images using sensors. Various sensors can detect …

Real time object detection and object size measurement

A Julian, R Ramyadevi, V Subiksha… - … and Security Volume 2, 2023 - taylorfrancis.com
One of the main challenges in real-time object detection and tracking is the need for high
computational efficiency. Researchers are constantly developing more effective and …

МЕТОДИ ІНТЕЛЕКТУАЛЬНОЇ ОБРОБКИ ЗОБРАЖЕНЬ ТА ВІДЕО НА ОСНОВІ МЕТРИК ВІЗУАЛЬНОЇ ЯКОСТІ ДЛЯ ПЕРСПЕКТИВНИХ ЗАСТОСУВАНЬ

S Abramov, F Yaroslaw, V Lukin… - European …, 2023 - desymp.promonograph.org
METHODS OF INTELLECTUAL IMAGE AND VIDEO PROCESSING BASED ON VISUAL
QUALITY METRICS FOR EMERGING APPLICATIONS | European Science Skip to main content …

A Complete Framework for LULC Classification of Madurai Remote Sensing Images with Deep Learning-based Fusion Technique

TG Nisia, S Rajesh - Object Detection with Deep Learning Models, 2022 - taylorfrancis.com
This chapter discusses how to implement the remote sensing image Land Use/Land Cover
(LULC) classification of LISS IV images using fused images as its input. The fusing of …