A STUDY OF REMOTE SENSING USING IMAGE FUSION: A REVIEW

Remote sensing is an approach to study remote area via images. But the limitation of remote sensed images is that they lack in giving complete information of the area. Therefore, the remote sensing is combined with image fusion by virtue of which the images are combined to get the hidden information. The image fusion is a technique that extracts relevant information from two or more source images of same scenes into single image. There is need of image fusion, for high resolution on panchromatic and multispectral images or real world images for better vision. The aim of image fusion (IF) is to coordinate complementary multi-temporal and multisensory data into one new image containing information, the quality of which cannot be achieved otherwise. The keyword quality definition and measurement is based on the specific applications. This paper provides a literature review on the techniques of image fusion like simple average, maximum, Principal Component Analysis (PCA), Discrete Wavelet Transform (DWT), etc. Image fusion is done to get a more enhanced and informative and more quality image from two or more images that are taken from completely different views and sensing element. The application areas of image fusion include both military and domestic functions and even medical functions.