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Use of CNN for crater counting. Machine learning, and specifically CNNs, can be used at various points within the crater counting pipeline. The pipeline consists of …
Two supervised machine learning crater detection algorithms (CDA) are discussed, one constructed for identification of craters from digital elevation models and another …
Here we discuss two supervised machine learning techniques for crater detection algorithms (CDA): identification of craters from digital elevation models (also known as …
This paper discusses the technical and operational aspects of vertical crater retreat mining at Mindola mine during the last ten years. The changes in mining method are often …
VERTICAL CRATER RETREAT ResearchGate VCR MINING.Vertical crater retreat (VCR) mining is a method originally developed by the Canadian mining company …
Our main aim is to locate lunar craters using images from Terrain Mapping Camera-2 (TMC-2) onboard the Chandrayaan-II satellite. The crater-based U-Net …
In the present study we examined crater detection and categorization system for planetary images in view of data mining from a large-scale scientific image database.
Therefore, in this study we focus on selecting craters under mineralization, while highlighting minerals used for energy resources and depicting a few mineral …
An automated crater-detection framework using knowledge discovery and data mining (KDD) process including sampling, feature selection and creation, and supervised …
A machine learning approach was developed to detect crater from topographic data. Three types of features were combined to improve the performance of …
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