Remote Sensing Based Identification of Painted Rock Shelter Sites: Appraisal Using Advanced Wide Field Sensor, Neural Network and Field Observations

摘要: Recent advances in remote sensing can map the lithological and geological parameters a synoptic way hence opens up new dimensions archaeological research. This work delineates accurate mappings of sandstone located documented form suite prehistoric rock-shelter sites Mirzapur district Central India. Artificial Neural Network (ANN) Maximum Likelihood Classification (MLC) techniques have been used to identify, classify region under study using IRS-P6 Advanced Wide Field Sensor (AWiFS). Interpretation data processing revealed that ANN performed better than MLC for mapping around area Mirzapur. A conspicuous pattern has detected where painted shelters followed natural or host-rock formations revealing painting activity. demonstrates social choice terms production consumption rock art importance local geology governs this