Results 11 to 20 of about 15,264 (300)
Overview of Hyperspectral Image Classification
Journal of Sensors, 2020 With the development of remote sensing technology, the application of hyperspectral images is becoming more and more widespread. The accurate classification of ground features through hyperspectral images is an important research content and has attracted widespread attention. Many methods have achieved good classification results in the classification
Wenjing Lv, Xiaofei Wang 0010
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智慧农业, 2020 With the development of hyperspectral sensor technology and remote sensing data acquisition platform, the application of hyperspectral data is becoming more and more popular in precision agriculture.
Fu Yuanyuan +7 more
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Remote Sensing, 2021 Compared with traditional optical and multispectral remote sensing images, hyperspectral images have hundreds of bands that can provide the possibility of fine classification of the earth’s surface.
Jianmei Ling, Lu Li, Haiyan Wang
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CatLC: Catalonia Multiresolution Land Cover Dataset
Scientific Data, 2022 Measurement(s) RGB orthophoto image • Infrared orthophoto image • Radar backscattering • Hyperspectral image • Topographic measurements • Landcover classification Technology Type(s) Airborne camera • Satellite SAR sensor • Satellite hyperspectral sensor •
Carlos García +3 more
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Remote Sensing, 2023 Hyperspectral image classification plays a crucial role in various remote sensing applications. However, existing methods often struggle with the challenge of unknown classes, leading to decreased classification accuracy and limited generalization.
Huaming Zhou +4 more
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Nested Transformers for Hyperspectral Image Classification
Journal of Sensors, 2022 Substantial deep learning methods have been utilized for hyperspectral image (HSI) classification recently. Vision Transformer (ViT) is skilled in modeling the overall structure of images and has been introduced to HSI classification task. However, the fixed patch division operation in ViT may lead to insufficient feature extraction, especially the ...
Zitong Zhang 0001 +3 more
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Hyperspectral Image Database Query Based on Big Data Analysis Technology [PDF]
E3S Web of Conferences, 2021 In this paper, we extract spectral image features from a hyperspectral image database, and use big data technology to classify spectra hierarchically, to achieve the purpose of efficient database matching.
Qi Beixun
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Customizing kernel functions for SVM-based hyperspectral image classification [PDF]
, 2008 Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Damper, R. I. +7 more
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Delving Into Classifying Hyperspectral Images via Graphical Adversarial Learning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Recent remote sensing literature has seen generative adversarial network (GAN)-based models developed for hyperspectral image classification, especially in a spatiospectral manner.
Guangxing Wang, Peng Ren
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Triplet-Watershed for Hyperspectral Image Classification [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Hyperspectral images (HSI) consist of rich spatial and spectral information, which can potentially be used for several applications. However, noise, band correlations and high dimensionality restrict the applicability of such data. This is recently addressed using creative deep learning network architectures such as ResNet, SSRN, and A2S2K.
Aditya Challa +3 more
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