Deep Learning in Satellite Imaging: A Survey

Autor:	Yusuf Musa Malgwi, Asabe Sandra Ahmadu, Ibrahim Goni
Rok vydání:	2021
Předmět:	Satellite imaging business.industry Computer Science::Computer Vision and Pattern Recognition Deep learning ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Artificial intelligence business Geology Remote sensing
Zdroj:	Sumerianz Journal of Scientific Research. :45-51
ISSN:	2617-6955 2617-765X
Popis:	In recent time deep learning has been extensively applied in satellite image analysis, the aim of this work was to conduct a thorough review on the application of deep learning in satellite imaging, moreover we have also provide a detail description regarding the principles of satellite image capturing, in addition to the mathematical models of image processing techniques used in satellite images such as image denoising, image filtering, image segmentation and histogram equalization. We have also discuss some of the aspect of deep learning but not in deep. Finally we have pave away for further research directions both in satellite imaging and deep learning.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bc16af86f5095d7eca6b05d2607db3e9 https://doi.org/10.47752/sjsr.42.45.51 Zobrazit plný text záznamu