Results 61 to 70 of about 1,701 (201)
Abstract Near‐surface permafrost degradation has the potential to damage infrastructure needed to sustain Arctic communities, but risk assessments remain highly uncertain due to a limited representation of the Arctic circumpolar building stock. With deep learning building footprint detection and building occupancy classification models, we expand the ...
E. Manos +4 more
wiley +1 more source
Pansharpening using total variation regularization [PDF]
International audienceIn remote sensing, pansharpening refers to the technique that combines the complementary spectral and spatial resolution characteristics of a multispectral image and a panchromatic image, with the objective to generate a high ...
Xiyan He +7 more
core +1 more source
Tri‐stereoscopic PeruSat‐1 imagery enables the simultaneous generation of 0.70 m‐resolution topography and spatially distributed Manning roughness maps, achieving 0.434 m vertical accuracy. Integrated into HEC‐RAS, these products provide consistent, high‐resolution inputs that improve hydraulic modelling and flood risk assessment in data‐scarce river ...
Jorge L. Miranda‐Pita +3 more
wiley +1 more source
MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION [PDF]
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 +9 more
doaj +1 more source
A Metaheuristic Optimization-Based Solution to MTF-GLP-Based Pansharpening
In recent years, the pansharpening strategies employing the Generalized Laplacian Pyramid (GLP) based on Gaussian filters that match the Modulation Transfer Function (MTF) of the source multispectral (MS) sensor have attracted attention in remote sensing
GÜNGÖR, OĞUZ +1 more
core +1 more source
Abstract Surface meltwater impacts Greenland Ice Sheet mass balance indirectly by reducing albedo and promoting hydrofracture. However, fully understanding both processes requires accurate mapping of small‐scale features such as ponds, channels, and moulins that govern meltwater formation and drainage. Here we investigate surface water dynamics at high
J. C. Ryan, R. T. Datta, S. W. Cooley
wiley +1 more source
A cross-band transformer on wavelets for pansharpening of satellite imagery
Pansharpening is the task of fusing panchromatic and low-resolution multi-spectral data to obtain a high-resolution equivalent. In our study, we develop a cross-band transformer (CBT) method for pansharpening, incorporating and adapting successful ...
Nikolaos Ntantis +3 more
doaj +1 more source
Adaptive Feedback‐Driven Gram‐Schmidt Pansharpening: An Iterative Quality Enhancement Framework
We propose an adaptive feedback‐driven pansharpening (AFDP) framework that enhances the classical Gram‐Schmidt (GS) method by iteratively refining the fusion process using low‐pass‐filtered updates and a QNR‐based stopping criterion. Unlike traditional GS sharpening, which injects panchromatic details in a single step, the AFDP approach gradually ...
Mohamed Ghadjati +6 more
wiley +1 more source
Image Restoration for the MRA-Based Pansharpening Method
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
Semi‐Automated Detection of Right Whales (Eubalaena spp.) in Very High‐Resolution Satellite Imagery
ABSTRACT Space‐based detection of whales is proliferating because it shows promise as a monitoring tool, yet tests of its application across taxa and environments are rare. The objective of this study was to develop an end‐to‐end, semi‐automated procedure for detecting two right whale species ( Eubalaena glacialis and E.
Kimberley T. A. Davies +7 more
wiley +1 more source

