A parallel fusion method of remote sensing image based on IHS transformation

With the development of modern remote sensing technology, a variety of earth observation satellites could continue to tremendously provide images of different spatial resolution, time resolution, spectral resolution remote sensing, and the remote sensing data obtained is increasing, which forms multi-source image pyramid in the same area. In such cases, in the description of the same object with multiple-source remote sensing information, how to conduct effective data processing, play the advantages of a variety of remote sensing data, the application of remote sensing image fusion is a very important choice. When remote sensing data is large, fusion is large in computing capacity and time-consuming, so it is difficult to carry out rapid, real-time fusion. However, in some remote sensing applications, such as disaster prevention and relief quick, etc., fast even real-time fusion is required. The fusion method based IHS (intensity, hue, saturation) transformation is a basic method. In this paper, with Beijing-1 Micro-satellite remote sensing images as the experimental data, based on the advantages of parallel computing, a parallel IHS fusion method of remote sensing image is proposed. Experiments show that good results of remote sensing image fusion can be obtained with the method, and the fusion speed is also fast.