Results 71 to 80 of about 1,701 (201)

Joint multichannel pansharpening for multispectral imagery [PDF]

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Pan-sharpening is a common post-processing operation for captured multispectral satellite imagery, where the spatial resolution of images gathered in various spectral bands is enhanced by fusing them with a panchromatic image captured at a higher resolution.
Hussein A. Aly 0002, Gaurav Sharma 0001
openaire   +1 more source

L0-Norm based Image Pansharpening by using population-based algorithms [PDF]

[E]Earth observation satellites capture panchromatic images at high spatial resolution and multispectral images at lower resolution to optimize the use of their onboard energy sources.
Pérez Delgado, María Luisa, Günen, M. Akif, Beşdok, Erkan   +2 more
core   +2 more sources

Hydrated Silica in Oxia Planum, Mars

Journal of Geophysical Research: Planets, Volume 130, Issue 9, September 2025.
Abstract Hydrated silica (SiO2·nH2O; opal) is important for understanding the geological and aqueous history and habitability of Mars, owing to its genesis in a wide range of aqueous environments and its high biosignature preservation potential relative to other hydrated minerals.
Joseph D. McNeil, Peter Grindrod, Livio L. Tornabene, Peter Fawdon, Vidhya Ganesh Rangarajan   +4 more
wiley   +1 more source

Co‐DeepNet: A Cooperative Convolutional Neural Network for DNA Methylation‐Based Age Prediction

CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1118-1134, August 2025.
ABSTRACT Prediction of the age of each individual is possible using the changing pattern of DNA methylation with age. In this paper an age prediction approach to work out multivariate regression problems using DNA methylation data is developed. In this research study a convolutional neural network (CNN)‐based model optimised by the genetic algorithm ...
Najmeh Sadat Jaddi, Mohammad Saniee Abadeh, Niousha Bagheri Khoulenjani, Salwani Abdullah, MohammadMahdi Ariannejad, Mohd Zakree Ahmad Nazri, Fatemeh Alvankarian   +6 more
wiley   +1 more source

Remote Sensing Image Pansharpening Using Deep Internal Learning With Residual Double-Attention Network

IEEE Access
In recent years, deep convolutional neural networks (CNNs) have significantly improved pansharpening performance compared to traditional methods. However, existing CNN-based methods for pansharpening still lack spatial detail and suffer from spectral ...
Rika Sustika, Andriyan B. Suksmono, Donny Danudirdjo, Ketut Wikantika   +3 more
doaj   +1 more source

A comparison of established and digital surface model (DSM) ‐based methods to determine population estimates and densities for king penguin colonies, using fixed‐wing drone and satellite imagery

Remote Sensing in Ecology and Conservation, Volume 11, Issue 3, Page 294-311, June 2025.
We used fixed‐wing drones and Beyond Visual Line of Sight flying to create high‐resolution imagery and Digital Surface Models (DSMs) of six large king penguin colonies (colony population sizes ranging from 10,671 to 132,577 pairs) in South Georgia. We used a novel DSM‐based method to facilitate automated and semi‐automated counts of each colony to ...
J. Coleman, N. Fenney, P.N. Trathan, A. Fox, E. Fox, A. Bennison, L. Ireland, M.A. Collins, P.R. Hollyman   +8 more
wiley   +1 more source

Mineralogical characterisation of aeolian sands using multispectral satellite datasets: Implications for dune field evolution, Wahiba Dune Field, Oman

Earth Surface Processes and Landforms, Volume 50, Issue 6, May 2025.
This study develops a remote sensing methodology that integrates high‐resolution satellite imagery with field validation to map the Wahiba Dune Field of Oman. Findings reveal the sensitivity of contemporary geomorphic surfaces to local sediment dynamics and highlight the value of multi‐scale analysis in interpreting dune field evolution.
David Cousins, Gary Kocurek, Mohammed Al Kindi, Omer Al Mashaykhi, Caroline Hern, Calum Macaulay, Robert Campbell, Michelle Thompson   +7 more
wiley   +1 more source

Fast wavelet-based pansharpening of multi-spectral images [PDF]

, 2010
Remote Sensing systems enhance the spatial quality of low-resolution Multi-Spectral (MS) images using information from Pan-chromatic (PAN) images under the pansharpening framework. Most decimated multi-resolution pansharpening approaches upsample the low-
Georgios Tzimiropoulos, Nikolaos Mitianoudis, Tzimiropoulos, Georgios, Mitianoudis, Nikolaos, Stathaki, Tania, Tania Stathaki   +5 more
core   +1 more source

Variational Pansharpening for Hyperspectral Imagery Constrained by Spectral Shape and Gram–Schmidt Transformation

Sensors, 2018
Image pansharpening can generate a high-resolution hyperspectral (HS) image by combining a high-resolution panchromatic image and a HS image. In this paper, we propose a variational pansharpening method for HS imagery constrained by spectral shape and ...
Zehua Huang, Qi Chen, Qihao Chen, Xiuguo Liu   +3 more
doaj   +1 more source

Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery

Remote Sensing in Ecology and Conservation, Volume 10, Issue 6, Page 673-685, December 2024.
We investigated two factors required to reliably conduct beluga whale population abundance estimates using VHR satellite imagery: (1) depths at which beluga whales are visible in VHR satellite images, which are used to define availability bias correction factors and (2) a comparison of abundance estimates in VHR satellite imagery to current aerial ...
Jordan B. Stewart, Justine M. Hudson, Bryanna A. H. Sherbo, Cortney A. Watt   +3 more
wiley   +1 more source