Results 231 to 240 of about 107,679 (337)

Extracting atmospheric profiles from hyperspectral data using particle filters

, 2012
Dustin Rawlings, Jacob H. Gunther, Todd K. Moon, Gustavious P. Williams   +3 more
openalex   +1 more source

ASSESSMENT OF BOTTOM-OF-ATMOSPHERE REFLECTANCE IN LIDAR DATA ASREFERENCE FOR HYPERSPECTRAL IMAGERY [PDF]

, 2017
Andreas Roncat, Norbert Pfeifer, Christian Briese   +2 more
openalex   +1 more source

GRAIN STARCH ESTIMATION USING HYPERSPECTRAL DATA AND ITS RELATIONSHIP WITH LEAF WATER CONTENTS FOR BROOMCORN MILLET (PANICUM MILIACEUM L.)

, 2022
J.J. WANG, Xiaoyu Tian, L. CHEN, Hongyang Wang, Xiaoning Cao, Haiming Qin, Shengnan Liu, Shah Fahad, Zhijun Qiao   +8 more
openalex   +1 more source

Differentiating solar lentigines from post‐inflammatory hyperpigmentation with hyperspectral imaging: A pilot study

International Journal of Cosmetic Science, EarlyView.
This preliminary study attempted to characterize solar lentigines and post‐inflammatory hyperpigmentation (PIH) observed on Japanese women. Colorimetric features and chromophore concentrations were measured using hyperspectral imaging for each hyperpigmentation type.
Victor Egana, Carl Blaksley, Ayako Itaya, Mai Edagawa, Alexandre Nicolas   +4 more
wiley   +1 more source

Sensing the Changes in Stratum Corneum Using Fourier Transform Infrared Microspectroscopy and Hyperspectral Data Processing. [PDF]

Sensors (Basel)
Banas K, Banas AM, Pastorin G, Hong NM, Gupta S, Dziedzic-Kocurek K, Breese MBH.   +6 more
europepmc   +1 more source

An object-based approach to quantity and quality assessment of heathland habitats in the framework of natura 2000 using hyperspectral airborne ahs images [PDF]

, 2010
Bertels, L., Delalieux, S., Haest, B., Kooistra, L., Mücher, C.A., Scheunders, P., Spanhove, T., Thoonen, G., Vanden Borre, J.   +8 more
core   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

Monitoring Eastern White Pine Health by Using Field-Measured Foliar Traits and Hyperspectral Data. [PDF]

Sensors (Basel)
Timalsina S, Rahimzadeh-Bajgiran P, Das P, Meireles JE, Bhattarai R.   +4 more
europepmc   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques. [PDF]

PLoS One
Suratanee A, Chutimanukul P, Saelao T, Chadchawan S, Buaboocha T, Plaimas K.   +5 more
europepmc   +1 more source