Research progress and prospect of remote sensing-based feature extraction of opencast mining areas

doi:10.6046/zrzyyg.2022141

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Abstract

The remote sensing-based feature extraction of opencast mining areas is a hot topic in research on the monitoring of mining activities. However, there is a lack of systematic reviews and summaries of relevant studies. Therefore, this study first defined the features of an opencast mining area, divided the feature extraction into single- and multi-feature extractions according to feature types, and briefly described the differences between the feature extraction of opencast mining areas and general surface feature extraction and land use classification. Then, this study briefly summarized the sources and data processing platforms of remote sensing images available in relevant studies. Subsequently, this study divided the remote sensing-based methods for the feature extraction of opencast mining areas into three categories, namely visual interpretation, traditional feature-based approach, and deep learning. Then, it summarized the research status of these methods and analyzed their advantages, disadvantages, and applicability. Finally, this study proposed the future research direction of the remote sensing-based feature extraction of opencast mining areas, holding that the future developmental trend is to further promote the intelligent, fine-scale, and robust feature extraction of mining areas by effectively utilizing multi-source and multi-temporal data, networks with a stronger feature extraction capacity, and methods for the optimization of complex scenes. The results of this study can be used as a reference for the study and application of remote sensing-based feature extraction of opencast mining areas.

Keywords opencast mining mining area features extraction method based on remote sensing images object-based image analysis deep learning

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Issue Date: 07 July 2023

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	Xian ZHANG
	Wei LI
	Li CHEN
	Zhaoying YANG
	Baocheng DOU
	Yu LI
	Haomin CHEN

Cite this article:

Xian ZHANG,Wei LI,Li CHEN, et al. Research progress and prospect of remote sensing-based feature extraction of opencast mining areas[J]. Remote Sensing for Natural Resources, 2023, 35(2): 25-33.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022141 OR https://www.gtzyyg.com/EN/Y2023/V35/I2/25

Tab.1 Categories of elements in opencast mining areas

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