Cargando…
Joint Texture Search and Histogram Redistribution for Hyperspectral Image Quality Improvement
Due to optical noise, electrical noise, and compression error, data hyperspectral remote sensing equipment is inevitably contaminated by various noises, which seriously affect the applications of hyperspectral data. Therefore, it is of great significance to enhance hyperspectral imaging data quality...
Autores principales: | Hu, Bingliang, Chen, Junyu, Wang, Yihao, Li, Haiwei, Zhang, Geng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006933/ https://www.ncbi.nlm.nih.gov/pubmed/36904933 http://dx.doi.org/10.3390/s23052731 |
Ejemplares similares
-
Synthetic aircraft RS image modelling based on improved conditional GAN joint embedding network
por: Chen, Junyu, et al.
Publicado: (2022) -
Highly sensitive image-derived indices of water-stressed plants using hyperspectral imaging in SWIR and histogram analysis
por: Kim, David M., et al.
Publicado: (2015) -
Combination of LBP Bin and Histogram Selections for Color Texture Classification
por: Porebski, Alice, et al.
Publicado: (2020) -
Histogram Adjustment of Images for Improving Photogrammetric Reconstruction
por: Łabędź, Piotr, et al.
Publicado: (2021) -
Estimation and mapping of soil texture content based on unmanned aerial vehicle hyperspectral imaging
por: Song, Qi, et al.
Publicado: (2023)