1. An image matching method based on cascaded binary encoding, characterized in that the stated method includes: Procedure S1: Using the hashing look-up with multiple hashing tables to coarsely filter candidate key-points in the image to produce a candidate subset of the candidate key-points; Procedure S2: Projecting the candidate subset of the candidate key-points into a high-dimensional Hamming space; Procedure S3: Building a “Hamming distance-memory address” hashing table, and obtaining the optimal matching key-point by querying this hashing table.