This paper presents a SIFT based low gray hyperspectral image lossy fast registration method. This method on the basis of low gray hyperspectral image lossy image registration and low gray hyperspectral image lossy down sampling

to reduce sampling benchmark Gray hyperspectral image lossy and to measure the low gray hyperspectral image lossy SIFT features are extracted

by Hyperspectral on the basis of low gray effectively matching feature points of image

get a certain number of low gray hyperspectral image control point loss

the final use of triangulation of low gray a hyperspectral image in local matching

and triangulation in repeated low gray hyperspectral triangulation image matching. The experimental results show that the proposed method not only control the number of the feature points

but also reduce the matching time of image registration

to effectively improve the image matching accuracy at the same time

also on the efficiency feature matching Have greater improvement.