We are developing a new landmine detection sensor (ALIS) which is equipped with a metal detector and a GPR. Although this is a hand-held system, we can record the metal detector and GPR signal with the sensor position information. Therefore, signal processing for 2-D signal image is possible. For the metal detector, we apply cross-correlation algorism for sharpening the image and estimation of the depth of the target. For GPR signal, we can apply migration algorithm, which drastically reduce the clutter and we can obtain 3-D image of the buried targets. At first, linear interpolation and cubic interpolation are used respectively to deal with the problem of random data position. Comparing results, we find the image quality of two kinds of interpolations is almost same. Then the migration is used to refocus the scattered signals and improve the image quality for reconstructed landmine image. ALIS demonstration were held in Afghanistan in December 2004 and other countries including Egypt and Croatia in 2005. After some demonstrations and evaluation, we received many useful suggestions. Using these advises, we have modified the ALIS and it is now more easy to use. In this paper, we describe the latest characteristics of the ALIS and summarize its operation.