A thermographic step-heating technique for metallic pollutant detection in soils

摘要: Abstract A feasibility study of the detection metallic pollutants in soil with thermographic measurement techniques is presented this paper. This proposes an alternative method to current for and identification contaminated soils by non-destructive testing reduce costs required execution time. For purpose, step-heating thermography used as technique. Taking into account thermal models, different pre-processing methods are applied captured thermogram sequences characterize response data; Artificial Neural Networks (ANN) a processing tool discern presence or absence contaminants soil. The selected ANN configuration will determine rates, making false negative rate worse positive improvement.