Optimal pansharpening of RASAT satellite imagery
Pansharpening is a pixel-level fusion technique for increasing the spatial resolution of low-resolution multi-spectral satellite imagery using high resolution panchromatic imagery. In this work, the performance of various pan sharpening algorithms in improving the 7.5 meter resolution of RASAT satellite imagery is compared Nine different pansharpening ...
Teke, Mustafa +3 more
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A multi-temporal phenology based classification approach for Crop Monitoring in Kenya [PDF]
The SBAM (Satellite Based Agricultural Monitoring) project, funded by the Italian Space Agency aims at: developing a validated satellite imagery based method for estimating and updating the agricultural areas in the region of Central-Africa; implementing
Jahjah, M., Laneve, G., Luciani, R.
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Pansharpening using total variation regularization [PDF]
In 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-resolution color image. This paper presents a new pansharpening method based on the minimization of a variant of total variation.
Xiyan He +3 more
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Siamese Networks Based Deep Fusion Framework for Multi-Source Satellite Imagery
A critical aim of pansharpening is to fuse coherent spatial and spectral features from panchromatic and multispectral images respectively. This study proposes deep siamese network based pansharpening model as a two-stage framework in a multiscale setting.
Hannan Adeel +3 more
doaj +1 more source
A convex formulation for hyperspectral image superresolution via subspace-based regularization
Hyperspectral remote sensing images (HSIs) usually have high spectral resolution and low spatial resolution. Conversely, multispectral images (MSIs) usually have low spectral and high spatial resolutions. The problem of inferring images which combine the
Almeida, Luis B. +3 more
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Fine-scale mapping of vector habitats using very high resolution satellite imagery : a liver fluke case-study [PDF]
The visualization of vector occurrence in space and time is an important aspect of studying vector-borne diseases. Detailed maps of possible vector habitats provide valuable information for the prediction of infection risk zones but are currently lacking
Charlier, Johannes +8 more
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A Critical Comparison Among Pansharpening Algorithms
Pansharpening aims at fusing a multispectral and a panchromatic image, featuring the result of the processing with the spectral resolution of the former and the spatial resolution of the latter. In the last decades, many algorithms addressing this task have been presented in the literature.
VIVONE, GEMINE +7 more
openaire +4 more sources
Web applications development to support remote sensing methods in open source software [PDF]
123 σ.Η ανάπτυξη γεωχωρικού λογισμικού ανοιχτού κώδικα τα τελευταία χρόνια έχει γνωρίσει μεγάλη ανάπτυξη. Ο λόγος για αυτό είναι η ύπαρξη των οργανισμών OGC και OpenGeo, οι οποίοι έχουν προτυποποιήσει έναν τρόπο να παρουσιάζονται και να μοιράζονται τα ...
Paragioudakis, Leonidas M. +1 more
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Pansharpening Based on Adaptive High-Frequency Fusion and Injection Coefficients Optimization
The purpose of pansharpening is to fuse a multispectral (MS) image with a panchromatic (PAN) image to generate a high spatial-resolution multispectral (HRMS) image.
Yong Yang +4 more
doaj +1 more source
Pansharpening via Multiscale Embedding and Dual Attention Transformers
Pansharpening is a fundamental and crucial image processing task for many remote sensing applications, which generates a high-resolution multispectral image by fusing a low-resolution multispectral image and a high-resolution panchromatic image. Recently,
Wensheng Fan, Fan Liu, Jingzhi Li
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