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A review of remote sensing image fusion methods
The recent years have been marked by continuous improvements of remote sensors with
applications like monitoring and management of the environment, precision agriculture …
applications like monitoring and management of the environment, precision agriculture …
Machine learning in pansharpening: A benchmark, from shallow to deep networks
Machine learning (ML) is influencing the literature in several research fields, often through
state-of-the-art approaches. In the past several years, ML has been explored for …
state-of-the-art approaches. In the past several years, ML has been explored for …
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion
Pan-sharpening in remote sensing image fusion refers to obtaining multi-spectral images of
high-resolution by fusing panchromatic images and multi-spectral images of low-resolution …
high-resolution by fusing panchromatic images and multi-spectral images of low-resolution …
A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing
Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …
different dimensionality, resolution, type, etc.) to generate information in a form that is more …
GTP-PNet: A residual learning network based on gradient transformation prior for pansharpening
Pansharpening aims to fuse low-resolution multi-spectral image and high-resolution
panchromatic (PAN) image to produce a high-resolution multi-spectral (HRMS) image. In …
panchromatic (PAN) image to produce a high-resolution multi-spectral (HRMS) image. In …
Nonlinear IHS: A promising method for pan-sharpening
The goal of pan-sharpening is to increase the spatial resolution of multispectral or
hyperspectral images using a high-spatial-resolution panchromatic image. The intensity-hue …
hyperspectral images using a high-spatial-resolution panchromatic image. The intensity-hue …
A compressed-sensing-based pan-sharpening method for spectral distortion reduction
Recently, the compressed sensing (CS) theory has become an interesting topic for pan-
sharpening of multispectral images. The CS theory ensures that, under the sparsity …
sharpening of multispectral images. The CS theory ensures that, under the sparsity …
Remote sensing image fusion using hierarchical multimodal probabilistic latent semantic analysis
The generative semantic nature of probabilistic topic models has recently shown
encouraging results within the remote sensing image fusion field when conducting land …
encouraging results within the remote sensing image fusion field when conducting land …
Remote sensing image fusion via compressive sensing
In this paper, we propose a compressive sensing-based method to pan-sharpen the low-
resolution multispectral (LRM) data, with the help of high-resolution panchromatic (HRP) …
resolution multispectral (LRM) data, with the help of high-resolution panchromatic (HRP) …
YOLOv5-based model integrating separable convolutions for detection of wheat head images
R Shen, T Zhen, Z Li - IEEE Access, 2023 - ieeexplore.ieee.org
In the detection of global wheat heads, it is easy to give rise to difficulties due to different
wheat varieties, planting densities and growth periods of wheat plants in different countries …
wheat varieties, planting densities and growth periods of wheat plants in different countries …