Application of deconvolution interferometry to wavefields observed by KiK‐net, a strong‐motion recording network in Japan, is useful for estimating wave velocities and S‐wave splitting in the near surface. At the location of the borehole accelerometer of each KiK‐net station, a velocity sensor is also installed as a part of a high‐sensitivity seismograph network (Hi‐net). I present a technique that uses both Hi‐net and KiK‐net records for computing deconvolution interferometry. The deconvolved waveform obtained from the combination of Hi‐net and KiK‐net data is similar to the waveform computed from KiK‐net data only. This similarity in the waveforms indicates that one can use Hi‐net wavefields for deconvolution interferometry. Because Hi‐net records have a high signal‐to‐noise ratio (SNR) and high dynamic resolution, SNR and quality of amplitude and phase of deconvolved waveforms can be improved with Hi‐net data. These advantages are especially important for short‐time moving‐window seismic interferometry and deconvolution interferometry using coda waves.