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Biology, Detection, and Management of Lecanosticta acicola: Emerging Challenges for the Management of Brown Spot Needle Blight in Pine Forests

Forest Pathology, Volume 56, Issue 1, February 2026.
ABSTRACT Brown spot needle blight (BSNB), caused by the fungus Lecanosticta acicola, is a widely distributed foliar disease of pines that causes needle necrosis, premature defoliation, and growth loss in both natural forests and commercial plantations. Although L.
Gabriel Silva, Temitope R. Folorunso, Andrea Miranda Paez, Gina F. Lamka, Swati Singh, Jaden King, Lydia Henderson, Micah Persyn, Tabeth Mwema, Tess Lindow, Negar Amiri, Lori Eckhardt, Lana Narine, Janna R. Willoughby   +13 more
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Development of a lip colour chart across four ethnicities

International Journal of Cosmetic Science, Volume 48, Issue 1, Page 161-171, February 2026.
The present study revealed a large lip colour diversity across four ethnic groups. The inter‐group overlaps demonstrate that lip colour is not solely defined by individual ethnic belonging. The 53 lip tones described here could be used as target shades to create more inclusive nude lipsticks in the near future. Abstract In the human face, the lips play
Zoé Charton, Héloïse Vergnaud, Laurence Caisey, David Blumenthal, Michael Ma, Anthony Shi, Virginie Couturaud, Tony Xu, Eléonore Loescher   +8 more
wiley   +1 more source

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Symbolic representation of hyperspectral data

Applied Optics, 1987
We have developed a symbolic representation of hyperspectral data using the scale space techniques of Witkin. We created a scale space image of hyperspectral data from convolution with Gaussian masks and then a fingerprint that extracts individual features from the original data.
M A, Piech, K R, Piech
openaire   +2 more sources

Watermarking of hyperspectral data

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Watermarking is drawing the interest of researchers in many areas due to developments in sharing resources. Watermarked data helps protect ownership rights and provides a means of detecting illegal use. In this paper, an adaptive watermarking method based on the Redundant Discrete Wavelet Transform (RDWT) is proposed and applied to hyperspectral ...
H. Tamhankar, L.M. Bruce, N. Younan
openaire   +1 more source

Modeling hyperspectral imaging data

SPIE Proceedings, 2003
Developing proper models for hyperspectral imaging (HSI) data allows for useful and reliable algorithms for data exploitation. These models provide the foundation for development and evaluation of detection, classification, clustering, and estimation algorithms. To date, real world HSI data has been modeled as a single multivariate Gaussian, however it
David B. Marden, Dimitris G. Manolakis
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Processing of hyperspectral data

2023
Hyperspectral imagery is becoming increasingly important in remote sensing. Traditional airborne or ground-based hyperspectral imagery is more often complemented by satellite imagery. The technology for production and miniaturisation of hyperspectral sensors has advanced to the point where relatively high quality imagery can be acquired from unmanned ...
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Hyperspectral Image Sharpening Using Multispectral Data

2007 IEEE Aerospace Conference, 2005
Multispectral sharpening of hyperspectral imagery fuses the spectral content of the hyperspectral image with the spatial and spectral content of the multispectral image. The approach we have been investigating compares the spectral information present in the multispectral image to the spectral content in the hyperspectral image and derives a set of ...
Michael E. Winter, Edwin M. Winter, Scott G. Beaven, Anthony J. Ratkowski   +3 more
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Processing misregistered hyperspectral data

SPIE Proceedings, 2007
Many hyperspectral sensors collect data using multiple spectrometers to span a broad spectral range. These spectrometers can be fed by optical fibers on the same or separate focal planes. The Modular Imaging Spectrometer Instrument (MISI), a 70 band line scanner built by the Rochester Institute of Technology, is configured in this manner. Visible
Jason T. Casey, Stephen R. Lach, John P. Kerekes   +2 more
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Hyperspectral Data Compression

2006
Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery.Chapter 1 addresses compression architecture, and reviews and compares compression methods.
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Hyperspectral Data Exploitation

2016
The main objective of hyperspectral imaging remote sensing is the identification of materials or phenomena from their reflectance or emissivity spectra to serve the needs of different applications. In this chapter, building on the understanding of the phenomenology of spectral remote sensing and the introduced signal processing methods, we develop ...
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