Results 91 to 100 of about 49,483 (287)
Hyperspectral Image Classification Using MiniVGGNet
, 2021 Hyperspectral image classification is widely used in the analysis of remote sensing images. Recently, deep learning has been seen as the most effective method for hyperspectral image classification. Especially, Convolutional neural networks (CNN) are getting more and more attention in this field.
FIRAT, Hüseyin +2 more
openaire +2 more sources
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 +4 more
wiley +1 more source
IEEE Access, 2020 Due to the characteristics of the spectrum integration, information redundancy, spectrum mixing phenomenon and nonlinearity of the hyperspectral remote sensing images, it is a major challenging task to classify the hyperspectral remote sensing images ...
Huayue Chen, Fang Miao, Xu Shen
doaj +1 more source
Dependent component analysis for hyperspectral image classification
SPIE Proceedings, 2009 Independent component analysis (ICA) has been widely used for hyperspectral image classification in an unsupervised fashion. It is assumed that classes are statistically mutual independent. In practice, this assumption may not be true. In this paper, we apply dependent component analysis (DCA) to unsupervised classification, which does not require the ...
Du, Qian, Kopriva, Ivica
openaire +2 more sources
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 +5 more
wiley +1 more source
Macroalgae and eelgrass mapping in Great Bay Estuary using AISA hyperspectral imagery [PDF]
, 2008 Increase in nitrogen concentration and declining eelgrass beds in Great Bay Estuary have been observed in the last decades. These two parameters are clear indicators of the impending problems for NH’s estuaries.
Brook, Anna +5 more
core +1 more source
Desertification Risk: Bibliometric Analysis and Future Research Directions
Land Degradation &Development, EarlyView.ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam +5 more
wiley +1 more source
Remote Sensing, 2020 In recent years, deep learning technology has been widely used in the field of hyperspectral image classification and achieved good performance. However, deep learning networks need a large amount of training samples, which conflicts with the limited ...
Liqin Liu +5 more
doaj +1 more source
Hyperspectral Image Classification Using K-means Clustering [PDF]
, 2015 Hyperspectral Image stores the reflectance of objects across the electromagnetic spectrum. Each object is identified by its spectral signature. Hyperspectral Sensors records these images from airborne devices.
Ranjan, Sameer
core
Long‐Range Exciton Energy Transfer in Two‐Dimensional Materials
Laser &Photonics Reviews, EarlyView.This review highlights recent advances in long‐range exciton energy transfer within planar 2D‐material architectures. It emphasizes the emergence of self‐hybridized excitonpolaritons, exciton coupling to surface plasmon polaritons and plasmonic lattices, and the role of dipoledipole transfer pathways in enabling efficient nanoscale energy transport ...
Paul H. Bittorf +8 more
wiley +1 more source