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high resolution hyperspectral data

Hyperspectral Remote Sensing of Coastal Environment

Hyperspectral Remote Sensing of Coastal Environment

... Case 2 water quality retrieval algorithms traditionally use simple band-ratio or band- difference tech- niques. However, promising techniques utilising more information have been introduced in recent years. Gitelson et ...

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High spatial resolution and hyperspectral remote sensing for mapping vegetation species in tropical rainforest

High spatial resolution and hyperspectral remote sensing for mapping vegetation species in tropical rainforest

... used data are satellite and airborne colour infrared (CIR) images (Gould, 2000; Madden et ...satellite data (i.e. the first generation of satellite data refer to Landsat MSS and second generation of ...

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Detection of Verticillium wilt in olive using high-resolution hyperspectral and thermal remote sensing imagery

Detection of Verticillium wilt in olive using high-resolution hyperspectral and thermal remote sensing imagery

... powerful data analysis methods, remote sensing becomes an essential tool for integrated disease ...using high-resolution thermal and hyperspectral imagery in two commercial olive orchards ...

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Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images

Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images

... multitemporal data [7], multiple classification systems made up of neural algorithms [8], [9], ...of hyperspectral images has been followed from several different experi- ences of other researchers that ...

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Using high-resolution hyperspectral and thermal airborne imagery to assess physiological condition in the context of wheat phenotyping

Using high-resolution hyperspectral and thermal airborne imagery to assess physiological condition in the context of wheat phenotyping

... and high temperatures, especially during grain filling, tends to seriously limit yields below their ...in high-yielding environments [15]. In this context, hyperspectral remote sensing has the ...

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Detection and Mapping of Phragmites australis using High Resolution Multispectral and Hyperspectral Satellite Imagery

Detection and Mapping of Phragmites australis using High Resolution Multispectral and Hyperspectral Satellite Imagery

... spatial resolution of the CHRIS PROBA imagery is relatively large at 17m and this creates a problem when assigning each pixel to a land cover ...pixel resolution, the number of pixels containing multiple ...

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Tree Species Classification by Fusing of very high-resolution Hyperspectral Images and 3K-DSM

Tree Species Classification by Fusing of very high-resolution Hyperspectral Images and 3K-DSM

... The hyperspectral images used in this paper were acquired by imaging spectrometer system HySpex on 24th of August ...nm. Hyperspectral images are orthorectified with SRTM because of the alignment problem in ...

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Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification

Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification

... features, hyperspectral data could best reflect its high spectral resolution characteristics in this field, and could dis- tinguish urban features with similar spectral characteristics, ...

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Seabed mapping in coastal shallow waters using high resolution multispectral and hyperspectral imagery

Seabed mapping in coastal shallow waters using high resolution multispectral and hyperspectral imagery

... context, high-resolution remote sensing data can be of fundamental importance to generate precise seabed maps in coastal shallow water ...and hyperspectral imagery were used to map benthic ...

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Strain relaxation in InGaN/GaN micro-pillars evidenced by high resolution cathodoluminescence hyperspectral imaging

Strain relaxation in InGaN/GaN micro-pillars evidenced by high resolution cathodoluminescence hyperspectral imaging

... allowing high resolution hyperspectral imaging to be carried ...CL hyperspectral images with a scanning step size of 200 nm using nonlinear least-squares peak ...wavelength data ...

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Hyperspectral imagery super-resolution by sparse representation and spectral regularization

Hyperspectral imagery super-resolution by sparse representation and spectral regularization

... super- resolution results by bicubic interpolation, endmember- based TV model, and proposed algorithm, and its corre- sponding PSNR, SSIM, and ...original high-resolution ...original ...

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Hyperspectral super-resolution of locally low rank images from complementary multisource data

Hyperspectral super-resolution of locally low rank images from complementary multisource data

... sensing hyperspectral images (HSI) are quite often low rank, in the sense that the data belong to a low dimensional ...spatial resolution HSI with high spatial resolution multispectral ...

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Early Detection and Quantification of Almond Red Leaf Blotch Using High-Resolution Hyperspectral and Thermal Imagery

Early Detection and Quantification of Almond Red Leaf Blotch Using High-Resolution Hyperspectral and Thermal Imagery

... of data from the hyperspectral and thermal cameras and its processing ensures the adequate correlation between the model and the field visual evaluation as well as its transferability to other fields and ...

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A deep learning-based approach for automated yellow rust disease detection from high resolution hyperspectral UAV images

A deep learning-based approach for automated yellow rust disease detection from high resolution hyperspectral UAV images

... with hyperspectral image sensors have the potential to address these issues with low cost and high ...very high spatial resolution hyperspectral images captured with ...

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High Resolution, High Speed, Hyperspectral Cameras for Laboratory, Industrial and Airborne Applications.

High Resolution, High Speed, Hyperspectral Cameras for Laboratory, Industrial and Airborne Applications.

... specialized hyperspectral camera systems and algorithms, enabling real time data processing (detection, classification, or quantification) for HySpex systems can be used in a wide variety of industries for ...

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Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images

Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images

... in hyperspectral images. For example, Dylan et. al. [155] proposed a data-driven target detection algorithm by employing the paired neural networks and a novel loss ...the hyperspectral data ...

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High spatial resolution imaging of methane and other trace gases with the airborne Hyperspectral Thermal Emission Spectrometer (HyTES)

High spatial resolution imaging of methane and other trace gases with the airborne Hyperspectral Thermal Emission Spectrometer (HyTES)

... TIR data should on average have higher sensitivity to methane detection than SWIR data over low albedo surfaces such as seawater and dark vegetation, and particularly at higher latitudes where reduced ...

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High-resolution cathodoluminescence hyperspectral imaging of nitride nanostructures

High-resolution cathodoluminescence hyperspectral imaging of nitride nanostructures

... CL hyperspectral image was acquired from the central ...the data, and Fig- ure 5c, which shows the centroid energy calculated over the same spectral ...spatial resolution is invaluable for ...

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Leveraging very-high spatial resolution hyperspectral and thermal UAV imageries for characterizing diurnal indicators of grapevine physiology

Leveraging very-high spatial resolution hyperspectral and thermal UAV imageries for characterizing diurnal indicators of grapevine physiology

... at high spectral, spatial, and temporal resolutions over small to medium ...fast data processing, and strict airspace regulations ...Indeed, high spatial resolution images acquired at low ...

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Mapping of Mineral Zones using the Spectral Feature Fitting Method in Jahazpur belt, Rajasthan, India

Mapping of Mineral Zones using the Spectral Feature Fitting Method in Jahazpur belt, Rajasthan, India

... spaceborne Hyperspectral data is very limited. Satellite data is ...the high spatial resolution (2-20 m), and high spectral resolution (10-20 nm) data for the ...

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