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Eleftheria Maria Pechlivani, Athanasios Papadimitriou, Sotirios Pemas, Nikolaos Giakoumoglou and Dimitrios Tzovaras
Hyperspectral imaging has revolutionized various scientific fields by enabling a detailed analysis of objects and materials based on their spectral signatures. However, the high cost and complexity of commercial hyperspectral camera systems limit their a...
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Hideki Maki, Valerie Lynch, Dongdong Ma, Mitchell R. Tuinstra, Masanori Yamasaki and Jian Jin
Water and nitrogen (N) are major factors in plant growth and agricultural production. However, these are often confounded and produce overlapping symptoms of plant stress. The objective of this study is to verify whether the different levels of N treatme...
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Jihyoung Ryu and Yeongmin Jang
Convolution neural networks have received much interest recently in the categorization of hyperspectral images (HSI). Deep learning requires a large number of labeled samples in order to optimize numerous parameters due to the expansion of architecture d...
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Jasper Knight and Mohamed A. M. Abd Elbasit
Remote sensing of coastal sediments for the purpose of automated mapping of their physical properties (grain size, mineralogy and carbonate content) across space has not been widely applied globally or in South Africa. This paper describes a baseline stu...
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Robin Vosahlo, Jonas Golde, Julia Walther, Edmund Koch, Christian Hannig and Florian Tetschke
The digital analysis of hyperspectral images by means of artificial intelligence can contribute to the development of new diagnostic techniques for early caries detection.
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