The paper introduces a novel technique called Split-Spectrum Amplitude-Decorrelation Angiography (SSADA) to improve the signal-to-noise ratio (SNR) of flow detection in optical coherence tomography (OCT). SSADA addresses the issue of high axial resolution in OCT, which makes it sensitive to pulsatile bulk motion noise. The method involves splitting the full OCT spectrum into several narrower bands and computing inter-B-scan decorrelation using these bands separately before averaging the results. This approach reduces axial motion noise without significantly compromising the transverse flow signal, which is more relevant for retinal and choroidal imaging. The SSADA algorithm was tested on in vivo images of the human macula and optic nerve head, showing significant improvements in both SNR for flow detection and the connectivity of microvascular networks compared to other amplitude-decorrelation algorithms. The paper also discusses the system setup, theoretical analysis, noise reduction methods, and in vivo testing, demonstrating the effectiveness of SSADA in visualizing retinal and choroidal blood flow.The paper introduces a novel technique called Split-Spectrum Amplitude-Decorrelation Angiography (SSADA) to improve the signal-to-noise ratio (SNR) of flow detection in optical coherence tomography (OCT). SSADA addresses the issue of high axial resolution in OCT, which makes it sensitive to pulsatile bulk motion noise. The method involves splitting the full OCT spectrum into several narrower bands and computing inter-B-scan decorrelation using these bands separately before averaging the results. This approach reduces axial motion noise without significantly compromising the transverse flow signal, which is more relevant for retinal and choroidal imaging. The SSADA algorithm was tested on in vivo images of the human macula and optic nerve head, showing significant improvements in both SNR for flow detection and the connectivity of microvascular networks compared to other amplitude-decorrelation algorithms. The paper also discusses the system setup, theoretical analysis, noise reduction methods, and in vivo testing, demonstrating the effectiveness of SSADA in visualizing retinal and choroidal blood flow.