Results 61 to 70 of about 4,917 (234)
Remote Sensing, 2021 Quality tree species information gathering is the basis for making proper decisions in forest management. By applying new technologies and remote sensing methods, very high resolution (VHR) satellite imagery can give sufficient spatial detail to achieve ...
Martina Deur +2 more
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Bayesian Fusion of Multi-Band Images [PDF]
, 2014 International audienceThis paper presents a Bayesian fusion technique for remotely sensed multi-band images. The observed images are related to the high spectral and high spatial resolution image to be recovered through physical degradations, e.g ...
Dobigeon, Nicolas +2 more
core +6 more sources
Remote Sensing, 2019 The spatial distribution information of remote sensing images can be derived by the super-resolution mapping (SRM) technique. Super-resolution mapping, based on the spatial attraction model (SRMSAM), has been an important SRM method, due to its ...
Peng Wang +3 more
doaj +1 more source
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
, 2019 Hyperspectral imaging can help better understand the characteristics of different materials, compared with traditional image systems. However, only high-resolution multispectral (HrMS) and low-resolution hyperspectral (LrHS) images can generally be ...
Meng, Deyu +5 more
core +1 more source
Assessing habitat suitability for black grouse broods at the bioregional scale
Wildlife Biology, EarlyView.The black grouse Lyrurus tetrix, a galliform species emblematic of the European Alps, is currently threatened by habitat change, particularly given the closure of heathland linked to the rising tree line at higher altitudes. The presence of heathlands in good ecological condition is, however, imperative for the species' reproduction.
Alexandre T. M. Defossez +6 more
wiley +1 more source
AGU Advances, Volume 7, Issue 2, April 2026.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
Pansharpening via Unsupervised Convolutional Neural Networks [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Pansharpening is normally utilized to take full advantage of all the available spectral and spatial information that are derived from a low-spatial-resolution multispectral (MS) image and its associated high-spatial-resolution (HR) panchromatic (PAN) image, respectively, producing a fused MS image with high spectral and spatial resolutions.
Shuyue Luo +3 more
openaire +2 more sources
Semi‐Automated Detection of Right Whales (Eubalaena spp.) in Very High‐Resolution Satellite Imagery
Marine Mammal Science, Volume 41, Issue 4, October 2025.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
No-Reference Quality Assessment for Pansharpened Images via Opinion-Unaware Learning
IEEE Access, 2019 The high-quality pansharpened image with both high spatial resolution and high spectral fidelity is highly desirable in various applications. However, existing pansharpening methods may lead to spatial distortion and spectral distortion.
Bingzhong Zhou +4 more
doaj +1 more source
Pansharpening via sparse regression [PDF]
Optical Engineering, 2017 Pansharpening is an effective way to enhance the spatial resolution of a multispectral (MS) image by fusing it with a provided panchromatic image. Instead of restricting the coding coefficients of low-resolution (LR) and high-resolution (HR) images to be equal, we propose a pansharpening approach via sparse regression in which the relationship between ...
openaire +1 more source