Object detection is an important process in surveillance system to locate objects and it considered as major application computer vision. The Convolution Neural Network (CNN) based models have been developed by many researchers for object achieve higher performance. However, existing some limitations such overfitting problem lower efficiency small detection. remote sensing hasthe of low detecti...

Detection of subsurface structures by means of gravity method can be used to determine mass distribution and density contrast of rock units. This distribution could be detected by different geophysical methods, especially gravity method. However, gravity techniques have some drawbacks and can't be always successful in distinguishing subsurface structures. Performance of the gravity technique co...

Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...