Traditional line scanning spatial phase unwrapping algorithms can achieve rapid phase unwrapping，however，it is susceptible to pull-line error propagation caused by factors such as noise and defocusing，which can lead to reconstruction errors or even failure. In light of these challenges，this paper proposes a spatial phase unwrapping algorithm with suppressing pull-line error as far as possible. The proposed algorithm，built upon the principles of fringe projection profilometry，binarizes the obtained wrapped phase to generate a binary wrapped phase sequence，thereby mitigating the influence of phase thresholds on fringe orders. Furthermore，it employs multi-anchor point validation by forward-backward crossings of this sequence to locate fringe jump points and confirm the fringe order map. Finally，the unwrapping phase and object depth information are computed from the fringe order map and the original wrapped phase. Experimental results demonstrate the feasibility and effectiveness of this algorithm. Moreover，it inherits the high-speed phase unwrapping capabilities of traditional line scanning algorithms while achieving higher measurement accuracy and noise robustness.