Results 1 to 10 of about 11,136 (312)
Quality criteria benchmark for hyperspectral imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2005 Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community. Efficient compression techniques are required, and lossy compression, specifically, will have a role to play ...
Christophe, Emmanuel +2 more
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A Study on Dimensionality Reduction and Parameters for Hyperspectral Imagery Based on Manifold Learning. [PDF]
Sensors (Basel)With the rapid advancement of remote-sensing technology, the spectral information obtained from hyperspectral remote-sensing imagery has become increasingly rich, facilitating detailed spectral analysis of Earth’s surface objects.
Song W +5 more
europepmc +2 more sources
A comparative study of multiscale representations for spatialspectral classification of hyperspectral imagery [PDF]
Dyna, 2017 Hyperspectral remote sensors acquire data coming from hundreds of narrow bands through the electromagnetic spectrum; this allows the terrestrial and maritime surfaces to be characterized for Earth observation.
Maria Constanza Torres-Madronero
doaj +2 more sources
Remote Sensing, 2019 In this study, we automate tree species classification and mapping using field-based training data, high spatial resolution airborne hyperspectral imagery, and a convolutional neural network classifier (CNN).
Geoffrey A Fricker +2 more
exaly +3 more sources
Remote Sensing, 2021 Hyperspectral imagery has been widely used in precision agriculture due to its rich spectral characteristics. With the rapid development of remote sensing technology, the airborne hyperspectral imagery shows detailed spatial information and temporal ...
Lifei Wei, Qikai Lu, Run Wang
exaly +3 more sources
Mapping barrier island soil moisture using a radiative transfer model of hyperspectral imagery from an unmanned aerial system. [PDF]
Sci Rep, 2021 The advent of remote sensing from unmanned aerial systems (UAS) has opened the door to more affordable and effective methods of imaging and mapping of surface geophysical properties with many important applications in areas such as coastal zone ...
Eon RS, Bachmann CM.
europepmc +2 more sources
Riverine Bathymetry Survey Using Unmanned Aerial Vehicle-Based Multispectral Image [PDF]
Geo Data, 2023 River basin surveys are conducted with the aim of providing essential foundational information for the formulation of water management policies, as mandated by relevant laws and regulations. These surveys cover key investigation areas necessary for river
Yeonghwa Gwon, Dongsu Kim, Siyoon Kwon
doaj +1 more source
A Novel Adaptively Optimized PCNN Model for Hyperspectral Image Sharpening
Remote Sensing, 2023 Hyperspectral satellite imagery has developed rapidly over the last decade because of its high spectral resolution and strong material recognition capability.
Xinyu Xu +4 more
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HYPERSPECTRAL TRANSFORMATION FROM EO-1 ALI IMAGERY USING PSEUDO-HYPERSPECTRAL IMAGE SYNTHESIS ALGORITHM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Hyperspectral remote sensing is more effective than multispectral remote sensing in many application fields because of having hundreds of observation bands with high spectral resolution.
N. T. Hoang, N. T. Hoang, K. Koike
doaj +1 more source
Hyperspectral imagery superresolution [PDF]
2016 24th Signal Processing and Communication Application Conference (SIU), 2016 Despite their high spectral resolution, hyperspectral images have low spatial resolution which adversely affects the applications that use hyperspectral images. In this study, instead of the traditional way of using spectral images, abundances of the endmembers are used in resolution enhancement.
Hasan Irmak +2 more
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