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The New Hyperspectral Satellite PRISMA: Imagery for Forest Types Discrimination
Sensors, 2021Saverio Francini +2 more
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Anomaly detection and compensation for hyperspectral imagery.
2005Hyperspectral sensors observe hundreds or thousands of narrow contiguous spectral bands. The use of hyperspectral imagery for remote sensing applications is new and promising, yet the characterization and analysis of such data by exploiting both spectral and spatial information have not been extensively investigated thus far.
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HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery
Remote Sensing, 2020Qian Du, Ran Tao
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Multiscale Superpixel-Based Fine Classification of Crops in the UAV-Based Hyperspectral Imagery
Remote Sensing, 2022Qikai Lu, Shuang Tian
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Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery
IEEE Transactions on Neural Networks and Learning Systems, 2022Qian Du, Lu Li
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Tree Species Classification Using Hyperspectral Imagery: A Comparison of Two Classifiers
Remote Sensing, 2016Ellen Hines, Laurel Ballanti
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Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery
Remote Sensing, 2017Jiamin Liu, Yule Duan, Hong Huang
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