Band Selection via Band Density Prominence Clustering for Hyperspectral Image Classification
Band clustering has been widely used for hyperspectral band selection (BS). However, selecting an appropriate band to represent a band cluster is a key issue.
Chein-I Chang +2 more
doaj +1 more source
Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean. [PDF]
Wong CY +7 more
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Hyperspectral Remote Sensing in North Africa
Hyperspectral remote sensing is a technique that uses reflected solar radiation to determine the spectral response within a determined area (pixel) on the surface of the earth. Airborne hyperspectral techniques can aid in the location of macroseeps by direct detection and may be used indirectly to locate microseeps.
openaire +2 more sources
A New SCAE-MT Classification Model for Hyperspectral Remote Sensing Images. [PDF]
Chen H, Chen Y, Wang Q, Chen T, Zhao H.
europepmc +1 more source
Semantic Segmentation of Hyperspectral Remote Sensing Images Based on PSE-UNet Model. [PDF]
Li J, Wang H, Zhang A, Liu Y.
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Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods. [PDF]
Zhang M +7 more
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Initial Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Hyperspectral Remote Sensing Data. [PDF]
DeCoffe LJR +5 more
europepmc +1 more source
Abnormal Target Detection Method in Hyperspectral Remote Sensing Image Based on Convolution Neural Network. [PDF]
Liu Y, Liu JB.
europepmc +1 more source
Epidemic of Wheat Stripe Rust Detected by Hyperspectral Remote Sensing and Its Potential Correlation with Soil Nitrogen during Latent Period. [PDF]
Chen J, Saimi A, Zhang M, Liu Q, Ma Z.
europepmc +1 more source
Identification of Bamboo Species Based on Extreme Gradient Boosting (XGBoost) Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery. [PDF]
Zhou G, Ni Z, Zhao Y, Luan J.
europepmc +1 more source

