Results 111 to 120 of about 35,844 (297)

Hyperspectral imagery super-resolution by sparse representation and spectral regularization

EURASIP Journal on Advances in Signal Processing, 2011
For the instrument limitation and imperfect imaging optics, it is difficult to acquire high spatial resolution hyperspectral imagery. Low spatial resolution will result in a lot of mixed pixels and greatly degrade the detection and recognition ...
Zhao Yongqiang, Yang Jinxiang, Zhang Qingyong, Song Lin, Cheng Yongmei, Pan Quan   +5 more
doaj  

A Novel Fully Convolutional Auto-Encoder Based on Dual Clustering and Latent Feature Adversarial Consistency for Hyperspectral Anomaly Detection

Remote Sensing
With the development of artificial intelligence, the ability to capture the background characteristics of hyperspectral imagery (HSI) has improved, showing promising performance in hyperspectral anomaly detection (HAD) tasks.
Rui Zhao, Zhiwei Yang, Xiangchao Meng, Feng Shao   +3 more
doaj   +1 more source

Hyperspectral Imaging Combined With Image Fusion Features and Machine Learning to Discriminate Different Origins, Grades, and Shelf‐Life of Oranges

Food Safety and Health, EarlyView.
This study verified that it is feasible to distinguish oranges of different origins, grades and shelf lives by using hyperspectral technology. It covers spectral, image and graph technologies, as well as machine learning and deep learning models. ABSTRACT This study reports the first application of hyperspectral feature fusion technology combined with ...
Honghui Xiao, Hao Hu, Hanyi Mei, Hao Deng, Yongzhi Zhang, Jing Nie, Hao Wu, Karyne M. Rogers, Yuwei Yuan, Chunlin Li   +9 more
wiley   +1 more source

Weighted Sparseness-Based Anomaly Detection for Hyperspectral Imagery. [PDF]

Sensors (Basel), 2023
Lian X, Zhao E, Zheng W, Peng X, Li A, Zhen Z, Wen Y.   +6 more
europepmc   +1 more source

Hyperspectral imagery super-resolution

, 2020
Hyperspectral (HS) imagery consists of hundred of narrow contiguous bands extending beyond the visible spectrum. It is a three dimensional data cube with two dimensional spatial information and a spectral dimension. Despite having high spectral resolution, HS images have lower spatial resolution due to technological restrictions.
openaire   +1 more source

Human appreciation of flower colours as cultural ecosystem service in grasslands: A methodological approach

Grassland Research, EarlyView.
This literature‐based method estimates human appreciation of flower colours on target grasslands. Step 1: search literature sources (floristic surveys, national floras, web datasets and preference studies). Step 2: flower trait extraction (flower colour and area, flowering period and human colour appreciation scale).
Marco Bianchini, Matteo Francioni, Giulio Tesei, Marina Allegrezza, Paride D'Ottavio   +4 more
wiley   +1 more source

Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery. [PDF]

Plant Phenomics, 2023
Che S, Du G, Zhong X, Mo Z, Wang Z, Mao Y.   +5 more
europepmc   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Postprocessing for Fine Classification of Crops in UAV Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Unmanned aerial vehicle (UAV) hyperspectral imagery has become a vital tool for crop monitoring, delivering rich spatial information and detailed spectral properties of crops.
Qikai Lu, Yanyan Tian, Pei Sun, Shaohua Liu, Lifei Wei   +4 more
doaj   +1 more source

Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas. [PDF]

ISPRS J Photogramm Remote Sens, 2022
Wocher M, Berger K, Verrelst J, Hank T.
europepmc   +1 more source