Results 1 to 10 of about 109,853 (338)

Assessment of soil organic matter in the post-fire period using VNIR spectroscopy [PDF]

Journal of Central European Agriculture
Wildfires profoundly impact ecosystems and soil organic matter (SOM), a critical factor in soil quality and carbon cycling. This research aimed to assess the impact of wildfire severity on SOM and the potential of visible-near infrared spectroscopy (VNIR)
Iva Hrelja, Igor Bogunović, Paulo Pereira, Ivana Šestak   +3 more
doaj   +1 more source

Fusion of pixel-based and object-based features for classification of urban hyperspectral remote sensing data [PDF]

, 2014
Hyperspectral imagery contains a wealth of spectral and spatial information that can improve target detection and recognition performance. Typically, spectral information is inferred pixel-based, while spatial information related to texture, context and ...
Devriendt, Flore, Gautama, Sidharta, Liao, Wenzhi, Philips, Wilfried, Pizurica, Aleksandra, Vancoillie, Frieke   +5 more
core  

INDIVIDUAL TREE-BASED FOREST SPECIES DIVERSITY ESTIMATION USING UAV-BORNE HYPERSPECTRAL AND LIDAR DATA [PDF]

, 2023
Zhaoju Zheng, Xiangchun Li, Chen Xu, Peng Zhao, Jianping Chen, Jie Wu, Xue Qiang Zhao, Xihan Mu, Dan Zhao, Yuan Zeng   +9 more
openalex   +1 more source

Quantification of Flavonoid Contents in Holy Basil Using Hyperspectral Imaging and Deep Learning Approaches

Applied Sciences
Holy basil (Ocimum tenuiflorum L.) is a medicinal herb rich in bioactive flavonoids with therapeutic properties. Traditional quantification methods rely on time-consuming and destructive extraction processes, whereas hyperspectral imaging provides a ...
Apichat Suratanee, Panita Chutimanukul, Kitiporn Plaimas   +2 more
doaj   +1 more source

Unmixing of Hyperspectral Data Using Robust Statistics-based NMF

, 2012
Mixed pixels are presented in hyperspectral images due to low spatial resolution of hyperspectral sensors. Spectral unmixing decomposes mixed pixels spectra into endmembers spectra and abundance fractions.
Ghassemian, Hassan, Rajabi, Roozbeh
core   +1 more source

NEW EVALUATION TECHNIQUES OF HYPERSPECTRAL DATA

Journal of Systemics, Cybernetics and Informatics, 2009
Multiband aerial imagery in remote sensing is a technology used more and more widely in present days. It can excellently be used in research fields where there is need for high spectral resolution images in order to obtain adequate level results. At present, data collection is of a much higher level than processing and use. As the technical development
Veronika Kozma-Bognár, József Berke
openaire   +2 more sources

Leveraging the Potential of PRISMA Hyperspectral Data for Forest Tree Species Classification: A Case Study in Southern Italy

Remote Sensing
Hyperspectral imagery and advanced classification techniques can significantly enhance remote sensing’s role in forest monitoring. Thanks to recent missions, such as the Italian Space Agency’s PRISMA (PRecursore IperSpettrale della Missione Applicativa ...
Gabriele Delogu, Miriam Perretta, Eros Caputi, Alessio Patriarca, Cassandra Carroll Funsten, Fabio Recanatesi, Maria Nicolina Ripa, Lorenzo Boccia   +7 more
doaj   +1 more source

CLASSIFICATION OF TREES IN HYPERSPECTRAL CANOPY DATA USING MACHINE LEARNING: COMPARATIVE ANALYSIS OF FOREST STRUCTURE COMPLEXITY [PDF]

, 2023
Francisco J. Galdames, P. González, Franco Magni-Pérez, Stephan M. Funk, Florent Lepin, Ricardo Saavedra, Héctor J. Hernández   +6 more
openalex   +1 more source

Non-destructive estimation of SPAD and biomass in Lamiophlomis rotata using hyperspectral imaging and deep learning with DRSA-CARS feature selection

Frontiers in Plant Science
IntroductionMonitoring the growth status and aboveground biomass of wild and cultivated medicinal herbs remains a persistent challenge in precision agriculture.MethodsIn this study, we developed machine learning and deep learning models to estimate SPAD ...
Xuemei Wu, Liwen Zhong, Rong Ding, Chenghui Wang, Hongchuan Chen, Shihong Zhong, Rui Gu, Rui Gu   +7 more
doaj   +1 more source

On Improving the Performance of Kalman Filter in Denoising Oil Palm Hyperspectral Data

Agriculture
A common drawback of denoising methods of images is that all pixels are filtered regardless of the amount of noise affecting them individually. Since the essence of denoising is lowpass filtering, subjecting clean pixels to denoising results in blurring.
Imanurfatiehah Ibrahim, Hamzah Arof, Mohd Izzuddin Anuar, Mohamad Sofian Abu Talip   +3 more
doaj   +1 more source