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Remote Sensing Image Scene Classification: Advances and Open Challenges.
- Source :
- Geomatics (2673-7418); Mar2023, Vol. 3 Issue 1, p137-155, 19p
- Publication Year :
- 2023
-
Abstract
- Deep learning approaches are gaining popularity in image feature analysis and in attaining state-of-the-art performances in scene classification of remote sensing imagery. This article presents a comprehensive review of the developments of various computer vision methods in remote sensing. There is currently an increase of remote sensing datasets with diverse scene semantics; this renders computer vision methods challenging to characterize the scene images for accurate scene classification effectively. This paper presents technology breakthroughs in deep learning and discusses their artificial intelligence open-source software implementation framework capabilities. Further, this paper discusses the open gaps/opportunities that need to be addressed by remote sensing communities. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 26737418
- Volume :
- 3
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Geomatics (2673-7418)
- Publication Type :
- Academic Journal
- Accession number :
- 162808845
- Full Text :
- https://doi.org/10.3390/geomatics3010007