Fundamentals of wide-field sparse-aperture imaging

摘要: Wide-field sparse-aperture imaging systems are desirable for space-borne surveillance applications because they have the potential improving resolution while minimizing weight penalty implied by a bigger deployed aperture. Exploiting this requires image processing in Fourier space to correct effects of badly compromised point spread functions. Consideration how SNR depends on sparsity reveals an unexpected, fundamental, highly disadvantageous limit exposure time, expressed Fienup theorem. The merits different types aperture configurations discussed terms resulting and modulation transfer functions, effect dividing broad spectral range into sub-bands is introduced.