Results 81 to 90 of about 4,917 (234)

Quantum-inspired computational imaging [PDF]

, 2018
Computational imaging combines measurement and computational methods with the aim of forming images even when the measurement conditions are weak, few in number, or highly indirect.
Altmann, Yoann, Faccio, Daniele, Goyal, Vivek K., Hero, Alfred O., McLaughlin, Stephen, Padgett, Miles J.   +5 more
core   +2 more sources

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

Fusion of MultiSpectral and Panchromatic Images Based on Morphological Operators

, 2016
International audienceNonlinear decomposition schemes constitute an alternative to classical approaches for facing the problem of data fusion. In this paper we discuss the application of this methodology to a popular remote sensing application called ...
Chanussot, Jocelyn, Dalla Mura, Mauro, Restaino, Rocco, Vivone, Gemine   +3 more
core   +3 more sources

The Interannual Variability of Antarctic Fast‐Ice Thickness in McMurdo Sound and Connections to Climate

Journal of Geophysical Research: Oceans, Volume 129, Issue 12, December 2024.
Abstract Land‐fast sea‐ice (fast ice) in McMurdo Sound grows through heat loss to the atmosphere and through heat loss to the ocean due to the presence of supercooled water. In this paper, we present a fast‐ice thickness data set covering 1986–2022, providing a baseline of interannual variability in fast‐ice thickness.
Maren Elisabeth Richter, Greg H. Leonard, Inga J. Smith, Pat J. Langhorne, Matthew Parry   +4 more
wiley   +1 more source

Hybrid Attention Based Residual Network for Pansharpening

Remote Sensing, 2021
Pansharpening aims at fusing the rich spectral information of multispectral (MS) images and the spatial details of panchromatic (PAN) images to generate a fused image with both high resolutions.
Qin Liu, Letong Han, Rui Tan, Hongfei Fan, Weiqi Li, Hongming Zhu, Bowen Du, Sicong Liu   +7 more
doaj   +1 more source

Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution

, 2018
In many computer vision applications, obtaining images of high resolution in both the spatial and spectral domains are equally important. However, due to hardware limitations, one can only expect to acquire images of high resolution in either the spatial
Kwan, Chiman, Qi, Hairong, Qu, Ying
core   +1 more source

Rapid Ice‐Wedge Collapse and Permafrost Carbon Loss Triggered by Increased Snow Depth and Surface Runoff

Geophysical Research Letters, Volume 51, Issue 11, 16 June 2024.
Abstract Thicker snow cover in permafrost areas causes deeper active layers and thaw subsidence, which alter local hydrology and may amplify the loss of soil carbon. However, the potential for changes in snow cover and surface runoff to mobilize permafrost carbon remains poorly quantified.
Frans‐Jan W. Parmentier, Lennart Nilsen, Hans Tømmervik, Ove H. Meisel, Lisa Bröder, Jorien E. Vonk, Sebastian Westermann, Philipp R. Semenchuk, Elisabeth J. Cooper   +8 more
wiley   +1 more source

SWPanGAN: A hybrid generative adversarial network for pansharpening

IET Image Processing, Volume 18, Issue 8, Page 1950-1966, 19 June 2024.
This paper introduces SWPanGAN, a novel pansharpening method that combines Swin Transformer architectures with discrete wavelet transform in a GAN framework. The approach effectively fuses multimodal data and detects artefacts, offering a significant advancement in image fusion and pansharpening.
Bo Huang, Xiongfei Li, Xiaoli Zhang
wiley   +1 more source

Mapping Ice Buried by the 1875 and 1961 Tephra of Askja Volcano, Northern Iceland Using Ground‐Penetrating Radar: Implications for Askja Caldera as a Geophysical Testbed for In Situ Resource Utilization

Journal of Geophysical Research: Planets, Volume 129, Issue 4, April 2024.
Abstract Eruptions of the Askja Volcano in Northern Iceland in 1875 and 1961 blanketed the caldera with rhyolitic and basaltic tephra deposits, respectively, which preserved layers of seasonal snowpack as massive ice. Askja serves as an operational and geophysical analog to test ground‐penetrating radar field and analysis techniques for in situ ...
E. S. Shoemaker Thackston, D. M. H. Baker, J. A. Richardson, L. M. Carter, S. P. Scheidt, P. L. Whelley, K. E. Young   +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