  The recently described pushframe imager, a parallelized single pixel camera
capturing with a pushbroom-like motion, is intrinsically suited to both
remote-sensing and compressive sampling. It optically applies a 2D mask to the
imaged scene, before performing light integration along a single spatial axis,
but previous work has not made use of the architecture's potential for taking
measurements sparsely. In this paper we develop a strongly performing static
binarized noiselet compressive sampling mask design, tailored to pushframe
hardware, allowing both a single exposure per motion time-step, and retention
of 2D correlations in the scene. Results from simulated and real-world captures
are presented, with performance shown to be similar to that of immobile -- and
hence inappropriate for satellite use -- whole-scene imagers. A particular
feature of our sampling approach is that the degree of compression can be
varied without altering the pattern, and we demonstrate the utility of this for
efficiently storing and transmitting multi-spectral images.
