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Hyperspectral imaging: A review on UAV-based sensors, data processing and applications for agriculture and forestry
Traditional imagery—provided, for example, by RGB and/or NIR sensors—has proven to be
useful in many agroforestry applications. However, it lacks the spectral range and precision …
useful in many agroforestry applications. However, it lacks the spectral range and precision …
Recent advances in techniques for hyperspectral image processing
Imaging spectroscopy, also known as hyperspectral imaging, has been transformed in less
than 30 years from being a sparse research tool into a commodity product available to a …
than 30 years from being a sparse research tool into a commodity product available to a …
Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution map** network using Landsat imagery
D He, Q Shi, X Liu, Y Zhong, G ** using an explicable sub-pixel map** network based on learnable spatial correlation
Sub-pixel map** is the prevailing approach for dealing with the mixed pixel effect in urban
land use/land cover classification, by reconstructing the sub-pixel-scale distribution inside …
land use/land cover classification, by reconstructing the sub-pixel-scale distribution inside …
Novel adaptive region spectral–spatial features for land cover classification with high spatial resolution remotely sensed imagery
Spectral–spatial features are important for ground target identification and classification with
high spatial resolution remotely sensed (HSRRS) Imagery. In this article, two novel features …
high spatial resolution remotely sensed (HSRRS) Imagery. In this article, two novel features …
[HTML][HTML] Hyperspectral image spatial super-resolution via 3D full convolutional neural network
Hyperspectral images are well-known for their fine spectral resolution to discriminate
different materials. However, their spatial resolution is relatively low due to the trade-off in …
different materials. However, their spatial resolution is relatively low due to the trade-off in …
Hyperspectral super-resolution by coupled spectral unmixing
Hyperspectral cameras capture images with many narrow spectral channels, which densely
sample the electromagnetic spectrum. The detailed spectral resolution is useful for many …
sample the electromagnetic spectrum. The detailed spectral resolution is useful for many …
Parcel-based crop classification in Ukraine using Landsat-8 data and Sentinel-1A data
N Kussul, G Lemoine, FJ Gallego… - IEEE Journal of …, 2016 - ieeexplore.ieee.org
For many applied problems in agricultural monitoring and food security, it is important to
provide reliable crop classification maps. Satellite imagery is extremely valuable source of …
provide reliable crop classification maps. Satellite imagery is extremely valuable source of …
Downscaling in remote sensing
PM Atkinson - International Journal of Applied Earth Observation and …, 2013 - Elsevier
Downscaling has an important role to play in remote sensing. It allows prediction at a finer
spatial resolution than that of the input imagery, based on either (i) assumptions or prior …
spatial resolution than that of the input imagery, based on either (i) assumptions or prior …
Automated annual cropland map** using knowledge-based temporal features
Global, timely, accurate and cost-effective cropland map** is a prerequisite for reliable
crop condition monitoring. This article presented a simple and comprehensive methodology …
crop condition monitoring. This article presented a simple and comprehensive methodology …