Recognizing items in cluttered scenes is a fundamental test that has recently been generally accepted by computer vision frameworks. In this paper, we use the intelligent pattern recognition algorithm in a jumbled image in MATLAB for computer vision of area detection in satellite imagery. In the examples used, we used two completely different regional images, both in terms of resolution and pixels, with two different climates with a larger overall image, to show the detection power of this algorithm, which in this case can also view the region in the picture. Distinguish well from a larger satellite image that shows more areas and recognizes us. The algorithm is also able to detect the regional image with high accuracy if the angle of the satellite image changes. This algorithm for detecting a specific object is based on finding point correspondences between the reference and the target image. It can detect objects despite a scale change or in-plane rotation. It is also robust to a small amount of out-of-plane rotation and occlusion.