Results 41 to 50 of about 53,858 (186)

Restoration and Calibration of Tilting Hyperspectral Super-Resolution Image

Sensors, 2020
Tilting sampling is a novel sampling mode for achieving a higher resolution of hyperspectral imagery. However, most studies on the tilting image have only focused on a single band, which loses the features of hyperspectral imagery.
Xizhen Zhang, Aiwu Zhang, Mengnan Li, Lulu Liu, Xiaoyan Kang   +4 more
doaj   +1 more source

Soil Moisture, Organic Carbon, and Nitrogen Content Prediction with Hyperspectral Data Using Regression Models

Sensors, 2022
Soil moisture, soil organic carbon, and nitrogen content prediction are considered significant fields of study as they are directly related to plant health and food production.
Dristi Datta, Manoranjan Paul, Manzur Murshed, Shyh Wei Teng, Leigh Schmidtke   +4 more
doaj   +1 more source

Maximum simplex volume: an efficient unsupervised band selection method for hyperspectral image

IET Computer Vision, 2019
Hyperspectral imaging makes it possible to obtain object information with fine spectral resolution as well as spatial resolution, which is beneficial to a wide array of applications. However, there is a high correlation among the bands in a hyperspectral
Xuefeng Jiang, Lin Zhang, Junrui Liu, Shuying Li   +3 more
doaj   +1 more source

Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification

Sensors, 2023
A hyperspectral image (HSI), which contains a number of contiguous and narrow spectral wavelength bands, is a valuable source of data for ground cover examinations.
Md Rashedul Islam, Boshir Ahmed, Md Ali Hossain, Md Palash Uddin   +3 more
doaj   +1 more source

Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground [PDF]

, 2017
In Astrophysics, the identification of candidate Globular Clusters through deep, wide-field, single band HST images, is a typical data analytics problem, where methods based on Machine Learning have revealed a high efficiency and reliability ...
Angora, Giuseppe, Brescia, Massimo, Cavuoti, Stefano, Paolillo, Maurizio, Puzia, Thomas H., Riccio, Giuseppe   +5 more
core   +3 more sources

Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning

Remote Sensing
Hyperspectral images are high-dimensional data that capture detailed spectral information across a wide range of wavelengths, enabling the precise identification and analysis of different materials or objects. However, the high dimensionality of the data
Yi Guo, Qianqian Wang, Bingliang Hu, Xueming Qian, Haibo Ye   +4 more
doaj   +1 more source

An Unsupervised Hyperspectral Band Selection Method Based on Shared Nearest Neighbor and Correlation Analysis

IEEE Access, 2019
Band selection is an important dimensionality reduction (DR) methodology for hyperspectral images (HSI). In recent years, many ranking-based clustering band selection methods have been developed.
Rongchao Yang, Jiangming Kan
doaj   +1 more source

How Many Topics? Stability Analysis for Topic Models

, 2014
Topic modeling refers to the task of discovering the underlying thematic structure in a text corpus, where the output is commonly presented as a report of the top terms appearing in each topic. Despite the diversity of topic modeling algorithms that have
C. Lin, D. Greene, D.D. Lee, D.M. Blei, E. Levine, H.W. Kuhn, J.P. Brunet, L.N. Hutchins, M. Kendall, P. Jaccard, R. Fagin, S. Ben-David, T. Lange, W. Webber   +13 more
core   +1 more source

On the influence of spatial information for hyper-spectral satellite imaging characterization [PDF]

, 2011
Land-use classification for hyper-spectral satellite images requires a previous step of pixel characterization. In the easiest case, each pixel is characterized by its spectral curve.
A. Martínez-Usó, A. Plaza, B. Manjunath, C. Chen, D.A. Landgrebe, G. Camps-Valls, H. Yang, I. Fogel, L. Jimenez, M. Petrou, O. Rajadell   +10 more
core   +2 more sources

An Analysis of Rhythmic Staccato-Vocalization Based on Frequency Demodulation for Laughter Detection in Conversational Meetings [PDF]

, 2016
Human laugh is able to convey various kinds of meanings in human communications. There exists various kinds of human laugh signal, for example: vocalized laugh and non vocalized laugh.
Cernak, Milos, Chaudhuri, B. B., Ghosh, Sucheta, Palit, Sarbani   +3 more
core   +1 more source