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Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review [PDF]
Sensors, 2022 The development of hyperspectral remote sensing equipment, in recent years, has provided plant protection professionals with a new mechanism for assessing the phytosanitary state of crops.
Anton Terentev +3 more
doaj +4 more sources
Advances in spaceborne hyperspectral remote sensing in China [PDF]
Geo-Spatial Information Science, 2021 With the maturation of satellite technology, Hyperspectral Remote Sensing (HRS) platforms have developed from the initial ground-based and airborne platforms into spaceborne platforms, which greatly promotes the civil application of HRS imagery in the fields of agriculture, forestry, and environmental monitoring.
Liangpei Zhang +2 more
exaly +3 more sources
Hyperspectral remote sensing of plant pigments [PDF]
Journal of Experimental Botany, 2006 The dynamics of pigment concentrations are diagnostic of a range of plant physiological properties and processes. This paper appraises the developing technologies and analytical methods for quantifying pigments non-destructively and repeatedly across a range of spatial scales using hyperspectral remote sensing.
George Alan Blackburn +1 more
exaly +3 more sources
Research and application of UAV-based hyperspectral remote sensing for smart city construction
Cognitive Robotics, 2022 Hyperspectral remote sensing has been an important technical means to obtain more refined information and provide rich, accurate, and reasonable data for the quantitative analysis and delicacy management of a ''smart city''.
Boxiong Yang +6 more
doaj +3 more sources
Multi- and hyperspectral geologic remote sensing: A review
International Journal of Applied Earth Observation and Geoinformation, 2012 Geologists have used remote sensing data since the advent of the technology for regional mapping, structural interpretation and to aid in prospecting for ores and hydrocarbons. This paper provides a review of multispectral and hyperspectral remote sensing data, products and applications in geology. During the early days of Landsat Multispectral scanner
Christoph Hecker +2 more
exaly +5 more sources
Research on Classification of Grassland Degeneration Indicator Objects Based on UAV Hyperspectral Remote Sensing and 3D_RNet-O Model [PDF]
SensorsReal-time and high-precision land cover classification is the foundation for efficient and quantitative research on grassland degradation using remote sensing techniques.
Eerdoumutu Jin +4 more
doaj +2 more sources
Remote Sensing, 2021 Unmanned aerial vehicle (UAV) hyperspectral remote sensing technologies have unique advantages in high-precision quantitative analysis of non-contact water surface source concentration.
Hong Liu +11 more
doaj +3 more sources
ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery. [PDF]
Sensors (Basel), 2018 The diverse density (DD) algorithm was proposed to handle the problem of low classification accuracy when training samples contain interference such as mixed pixels. The DD algorithm can learn a feature vector from training bags, which comprise instances (pixels).
Li N +6 more
europepmc +7 more sources
Unsupervised Domain Adaptation With Dense-Based Compaction for Hyperspectral Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Enormously hard work of label obtaining leads to the lack of enough annotated samples in the hyperspectral imagery (HSI). The mentioned reality inferred the unsupervised classification performance barely satisfactorily.
Chunyan Yu +4 more
doaj +1 more source
A Spatial-Enhanced LSE-SFIM Algorithm for Hyperspectral and Multispectral Images Fusion
Remote Sensing, 2021 The fusion of a hyperspectral image (HSI) and multispectral image (MSI) can significantly improve the ability of ground target recognition and identification.
Yulei Wang +4 more
doaj +1 more source