4DWD labs processing techniques for magnetic (MAG) data have been developed to improve the accuracy and resolution of subsurface imaging and magnetic tendancy objects picking. One of the most important advancements has been the use of improved gridding and back ground noise cancelation algorithms, which produce high-resolution images of the subsurface by using sophisticated mathematical techniques to enhance the S/N ratio of the magnetic data. These algorithms make it possible to distinguish between false and real magnetic targets which increasingly serves the UXO target picking topic and the reliable MTL generation without many of the time consuming targets of low reliability rank.

4DWD detection systems normally build an important automated integration between MAG and Acoustic dataset which provides a more accurate and detailed understanding of the subsurface and is becoming increasingly important for the exploration and development of subsurface imaging. The use of advanced computing power, such as parallel processing and cloud computing, has also improved the efficiency and speed of MAG data processing, making it possible to process large amounts of data in our labs in a relatively short amount of time and to be commercially very attractive to our clients.