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The spectral line datacubes obtained from the Square Kilometre Array (SKA)and its precursors, such as the Australian SKA Pathfinder (ASKAP), will besufficiently large to necessitate automated detection and parametrisation ofsources. Matched filtering is widely acknowledged as the best possible methodfor the automated detection of sources. This paper presents the CharacterisedNoise Hi (CNHI) source finder, which employs a novel implementation of matchedfiltering. This implementation is optimised for the 3-D nature of the plannedWide-field ASKAP Legacy L-band All- sky Blind surveY's (WALLABY) Hi spectralline observations. The CNHI source finder also employs a novel sparserepresentation of 3-D objects, with a high compression rate, to implement Lutzone-pass algorithm on datacubes that are too large to process in a single pass.WALLABY will use ASKAP's phenomenal 30 square degree field of view to image\sim 70% of the sky. It is expected that WALLABY will find 500 000 Hi galaxiesout to z \sim 0.2.

The Characterised Noise Hi source finder: Detecting Hi galaxies using a novel implementation of matched filtering