Results 71 to 80 of about 4,917 (234)

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

Effects of atmospheric correction and pansharpening on LULC classification accuracy using WorldView-2 imagery

Information Processing in Agriculture, 2015
Changes of Land Use and Land Cover (LULC) affect atmospheric, climatic, and biological spheres of the earth. Accurate LULC map offers detail information for resources management and intergovernmental cooperation to debate global warming and biodiversity ...
Chinsu Lin, Chao-Cheng Wu, Khongor Tsogt, Yen-Chieh Ouyang, Chein-I Chang   +4 more
doaj   +1 more source

Fusion of multispectral and hyperspectral images based on sparse representation [PDF]

, 2014
National audienceThis paper presents an algorithm based on sparse representation for fusing hyperspectral and multispectral images. The observed images are assumed to be obtained by spectral or spatial degradations of the high resolution hyperspectral ...
Bioucas-Dias, José M., Dobigeon, Nicolas, Tourneret, Jean-Yves, Wei, Qi   +3 more
core   +6 more sources

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

Image Restoration for the MRA-Based Pansharpening Method

IEEE Access, 2020
By merging high-resolution panchromatic (PAN) images with low-resolution multispectral (MS) images, high-resolution MS images with complementary information can be obtained, i.e., pansharpening.
Jiao Jiao, Lingda Wu
doaj   +1 more source

MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The paper proposes a novel pansharpening method based on the pulse-coupled neural network segmentation. In the new method, uniform injection gains of each region are estimated through PCNN segmentation rather than through a simple square window.
X. J. Li, X. J. Li, H. W. Yan, H. W. Yan, S. W. Yang, S. W. Yang, L. Kang, L. Kang, X. M. Lu, X. M. Lu   +9 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

Deep Learning Hyperspectral Pansharpening on Large-Scale PRISMA Dataset

Remote Sensing
Hyperspectral pansharpening is crucial for the improvement of the usability of images in various applications. However, it remains underexplored due to a scarcity of data.
Simone Zini, Mirko Paolo Barbato, Flavio Piccoli, Paolo Napoletano   +3 more
doaj   +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

MSAC-Net: 3D Multi-Scale Attention Convolutional Network for Multi-Spectral Imagery Pansharpening

Remote Sensing, 2022
Pansharpening fuses spectral information from the multi-spectral image and spatial information from the panchromatic image, generating super-resolution multi-spectral images with high spatial resolution.
Erlei Zhang, Yihao Fu, Jun Wang, Lu Liu, Kai Yu, Jinye Peng   +5 more
doaj   +1 more source