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Research on Classification of Open-Pit Mineral Exploiting Information Based on OOB RFE Feature Optimization

Yi Zhou, Shufang Tian, Jianping Chen, Yao Liu, Chaozhu Li
Under the same feature scheme, RF is effective on classifying the mineral exploiting information of the research field.  ...  This study creatively combines Out of Bag data with Recursive Feature Elimination (OOB RFE) to optimize the feature combination of the mineral exploiting information of non-metallic building materials  ...  We appreciate the anonymous reviewers for their valuable suggestions and comments, which help improve the quality of this manuscript.  ... 
doi:10.3390/s22051948 pmid:35271096 pmcid:PMC8914673 fatcat:qfryf6iq2fgkddaulxjcyoahsm

Hyperspectral Imagery for Environmental Urban Planning

C. Weber, R. Aguejdad, X Briottet, J. Avala, S. Fabre, J. Demuynck, E. Zenou, Y. Deville, M.S. Karoui, F.Z. Benhalouche, S. Gadal, W. Ourghemmi (+3 others)
2018 IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium  
Pixel-based lidar features. The lidar features are rasterized at the resolution of the multispectral image using a pit-free method proposed in (Khosravipour et al., 2014) .  ...  Indeed, the main problem for the rasterization of lidar features is that the point density is not homogeneous, thus applying a regular grid can lead to a pixel-based feature map with pits.  ...  Les coefficients de mélange utilisés sont issus d'une classification réelle.  ... 
doi:10.1109/igarss.2018.8519085 dblp:conf/igarss/WeberABAFDZDKBG18 fatcat:eknmohwbirb67pnmn7adsjjija