• Tanuj Dharmesh Patel
• Umang Dilip Patel
• Raj Rahul Parekh
• John Kenny

A lot of resources are spent by space agencies for the gathering and transportation of rocks that are brought back to earth for research and studies. Geologists have to conduct various tests and experiments on the rocks to classify them. Machine learning based unsupervised hierarchical approaches for space object detection was illustrated in literature. Unfortunately these methods are limited to detection of rocks but not classifying them into categories. This research aims at implementing deep learning network model VGG19 with Convolutional neural network, for the classification to learn the associations between the space rock features e.g. Curves, edges and textures and thus classifying into rock type based on this. This would save a lot of precious time and resources spent by the agencies on space rock research.

Space rocks, Neural networks, rock classification, deep learning.

"Classifying Space rocks using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.b777-b786, April-2022, Available :http://www.jetir.org/papers/JETIR2204196.pdf

"Classifying Space rocks using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppb777-b786, April-2022, Available at : http://www.jetir.org/papers/JETIR2204196.pdf