Pipeline detection system from acoustic images utilizing CA-CFAR

The Side Scan Sonars (SSS) are one of the most utilized devices to obtain acoustic images of the seafloor. To face an application of preventive maintenance of the underwater infrastructure, it was necessary to realize a detection system and pipeline exploration in automated form. The current techniques of acoustic images processing of SSS consume a great quantity of time and computational resources. Thus, an efficient system of pipeline detection is presented utilizing techniques of Cell-Averaging with Constant False Alarm Rate (CA-CFAR). These proposals were contrasted experimentally on images obtained from wet tests in Salvador da Bahia with promising results.