Cargando…
An Improved Adaptive Spatial Preprocessing Method for Remote Sensing Images
Since remote sensing images are one of the main sources for people to obtain required information, the quality of the image becomes particularly important. Nevertheless, noise often inevitably exists in the image, and the targets are usually blurred by the acquisition of the imaging system, resultin...
Autores principales: | Zheng, Liangliang, Xu, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434460/ https://www.ncbi.nlm.nih.gov/pubmed/34502575 http://dx.doi.org/10.3390/s21175684 |
Ejemplares similares
-
On-Board, Real-Time Preprocessing System for Optical Remote-Sensing Imagery
por: Qi, Baogui, et al.
Publicado: (2018) -
Adaptive Segmentation of Remote Sensing Images Based on Global Spatial Information
por: Li, Muqing, et al.
Publicado: (2019) -
An Automatic Exposure Method of Plane Array Remote Sensing Image Based on Two-Dimensional Entropy
por: Gao, Tan, et al.
Publicado: (2021) -
A Method of Spatial Mapping and Reclassification for High-Spatial-Resolution Remote Sensing Image Classification
por: Wang, Guizhou, et al.
Publicado: (2013) -
Blind Remote Sensing Image Deblurring Based on Overlapped Patches’ Non-Linear Prior
por: Zhang, Ziyu, et al.
Publicado: (2022)