Results 31 to 40 of about 4,917 (234)

Multispectral Pansharpening Based on Multisequence Convolutional Recurrent Neural Network

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Multispectral (MS) pansharpening is defined as the fusion of spatial information in panchromatic (PAN) image and spectral information in MS image. In this work, we propose an MS pansharpening based on multisequence convolutional recurrent neural network (
Peng Wang   +5 more
doaj   +1 more source

Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology

open access: yesReviews of Geophysics, Volume 61, Issue 2, June 2023., 2023
Abstract Antarctic landfast sea ice (fast ice) is stationary sea ice that is attached to the coast, grounded icebergs, ice shelves, or other protrusions on the continental shelf. Fast ice forms in narrow (generally up to 200 km wide) bands, and ranges in thickness from centimeters to tens of meters. In most regions, it forms in autumn, persists through
A. D. Fraser   +22 more
wiley   +1 more source

Deep learning in remote sensing: a review [PDF]

open access: yes, 2017
Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich   +6 more
core   +4 more sources

Wood‐Based Carbon Storage in the Mackenzie River Delta: The World's Largest Mapped Riverine Wood Deposit

open access: yesGeophysical Research Letters, Volume 50, Issue 7, 16 April 2023., 2023
Abstract The Mackenzie River Delta (MRD) has been recognized as an important host of river‐derived wood deposits, and Mackenzie River wood has been found across the Arctic Ocean. Nevertheless, we lack estimates of the amount of carbon stored as wood and its age in the delta, representing a gap in carbon cycle estimates.
Alicia Sendrowski   +4 more
wiley   +1 more source

Quality assessment by region in spot images fused by means dual-tree complex wavelet transform [PDF]

open access: yes, 2011
This work is motivated in providing and evaluating a fusion algorithm of remotely sensed images, i.e. the fusion of a high spatial resolution panchromatic image with a multi-spectral image (also known as pansharpening) using the dual-tree complex wavelet
Arquero Hidalgo, Águeda   +2 more
core   +2 more sources

A Hybrid Pansharpening Algorithm of VHR Satellite Images that Employs Injection Gains Based on NDVI to Reduce Computational Costs

open access: yesRemote Sensing, 2017
The objective of this work is to develop an algorithm for pansharpening of very high resolution (VHR) satellite imagery that reduces the spectral distortion of the pansharpened images and enhances their spatial clarity with minimal computational costs ...
Jaewan Choi   +4 more
doaj   +1 more source

Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening [PDF]

open access: yesComputer Vision and Pattern Recognition
Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating regional information in non-local spaces, thereby limiting the ...
Yule Duan   +3 more
semanticscholar   +1 more source

QNR Optimization based Pansharpening [PDF]

open access: yesIGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
Quality Without Reference (QNR) index can be used to globally assess the quality of pansharpened images without the need of a reference high resolution multispectral (MS) image. The QNR index relies on local calculation of the Q4 index. Exploiting the local Q4 calculation property of the QNR index, we propose an injection model for pansharpening.
Khan M. M.   +2 more
openaire   +1 more source

Effects of Pansharpening on Vegetation Indices

open access: yesISPRS International Journal of Geo-Information, 2014
This study evaluated the effects of image pansharpening on Vegetation Indices (VIs), and found that pansharpening was able to downscale single-date and multi-temporal Landsat 8 VI data without introducing significant distortions in VI values.
Brian Johnson
doaj   +1 more source

PCDRN: Progressive Cascade Deep Residual Network for Pansharpening

open access: yesRemote Sensing, 2020
Pansharpening is the process of fusing a low-resolution multispectral (LRMS) image with a high-resolution panchromatic (PAN) image. In the process of pansharpening, the LRMS image is often directly upsampled by a scale of 4, which may result in the loss ...
Yong Yang   +3 more
doaj   +1 more source

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