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This paper presents the feature detection method for aerial image. The image captured from the navigation was used to select the best landmarks for localization and mapping in SLAM. A robust visual detection method has contributed to better landmark and data association selection. Therefore, different feature detection algorithms were compared to evaluate the best landmark detector and descriptor for the VSLAM. The performances of the feature detectors were evaluated using dataset provided bydoi:10.1109/iccsce.2013.6719929 dblp:conf/iccsce/KadirA13 fatcat:5iasvplowjc4bn6oaxmanzie7i