Straight lines extraction is considered used as an important case in image analysis. It is also applied in different sciences such as computer vision, image processing, remote sensing and photogrammetry. Whit the development of digital photogrammetry since 80s, mapping has extremely been successful. Due to the much complicated nature of aerial and satellite images of earth, the automatic extraction of plan metric features such as roads and buildings to produce plan metric maps is experiencing some difficult. One of the important parts of the solution is straight lines extraction. In this paper, a method based on conceptual organization for extraction of straight lines from aerial images has been suggested. Based on the suggested method, in the first stage, the original image is converted to a binary image. In the second stage, the binary image is labeled and chain code, then features that have specific structure is separated. Based on the ability of conceptual organization, in the third stage, segment lines are extracted from structured features. Due to the noise, the segment lines are grouped together to make bigger lines. The proposed method has been tested and evaluated on aerial images in 1/10000 scale from Kish region.