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The resource scheduling strategy of the existing cognitive radar imaging system only performs resource scheduling from one dimension that distance (waveform design) or azimuth, which doesn't adequately allocate and utiliize radar system resources. Therefore, a two-dimeniional resource adaptive scheduling algorithm is proposed for the stepped frequency inverse synthetic aperture radar imaging system to improve the efficiency of the radar system based on the recognition of target's features and according to the principle of compressed sensing, the proposed algorithm calculates the pulse resources required for two-dimensional sparse imaging of targets. Then, according to the two-dimensional resource scheduling model, the two-dimensional pulse resources are adaprively allocated to realize the alternate observation of the target. Two-dimensional image of target is obtained by the sparse imaging algorithm. Finally, the feasibility of the algorithm is verified by stimulation, and more imaging tasks can be performed compared with the traditional algorithm in the case of resource saturation. [ABSTRACT FROM AUTHOR]