Results 91 to 100 of about 15,264 (300)
International Journal of Advanced Robotic Systems, 2017 Hyperspectral remote sensing technology becomes more and more popular in recent years which can be applied to satellite, plane, and flying robots. An important application of hyperspectral remote sensing is the classification of ground objects.
Binge Cui +3 more
doaj +1 more source
Effective feature extraction and data reduction with hyperspectral imaging in remote sensing
, 2014 Although PCA has been widely used for feature extraction and data reduction, it suffers from three main drawbacks: high computational cost, large memory requirement and low efficacy in processing large datasets such as HSI.
Zabalza, Jaime +3 more
core +1 more source
Cross-Domain CNN for Hyperspectral Image Classification [PDF]
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 IGARSS ...
Hyungtae Lee, Sungmin Eum, Heesung Kwon
openaire +2 more sources
FlexMat, EarlyView.This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen +5 more
wiley +1 more source
Hyperspectral texture analysis for colon tissue biopsy classification [PDF]
, 2007 Diagnosis and cure of colon cancer can be improved by performing automated histopathological analysis of colon biopsy samples. Due to significant observational variation between pathologists in several histological features, there is a need for the ...
Rajpoot, Nasir M. (Nasir Mahmood) +3 more
core
Food Safety and Health, EarlyView.The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao +5 more
wiley +1 more source
A Spectral-Texture Kernel-Based Classification Method for Hyperspectral Images
Remote Sensing, 2016 Classification of hyperspectral images always suffers from high dimensionality and very limited labeled samples. Recently, the spectral-spatial classification has attracted considerable attention and can achieve higher classification accuracy and ...
Yi Wang, Yan Zhang, Haiwei Song
doaj +1 more source
An improved Expectation Maximization algorithm for hyperspectral image classification
, 2013 In this paper, we propose an improved Expectation Maximization (EM) algorithm for hyperspectral image classification. As an excellent machine learning algorithm, EM is an iterative process for finding Maximum A Posteriori estimation (MAP) of parameters ...
Li Ni +7 more
core +1 more source
iMeta, EarlyView.Graphical overview of explainable artificial intelligence (XAI) for farm‐to‐fork postharvest preservation. Postharvest deterioration accumulates across orchard, packhouse, refrigerated transportation, warehouse, and distribution stages under fluctuating temperature, humidity, atmosphere, and mechanical stress.
Peihua Ma +11 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