Spectroscopic detection and classification techniques suffer from the collection of excessive data and utilize only a fraction of the information collected for classification. Compressed Sensing (CS) techniques have been utilized in optical, photonic, electronic and controls applications. This limits data collection to the essentials and reduces the hardware, software, and computational requirements. Applying CS to just the general computational system results in the collection of data which is ultimately discarded. The result is excessive power consumption, mass, physical sizes, and complexity. Compressive Sensing requires, at a minimum, a non-uniform encoding system with a non-linear decompression system for total reconstruction. Pseudorandom encoding is frequently preferred. Total reconstruction of a compressed signal has been shown to be very computational intensive and other optical-based techniques have been demonstrated to accelerate the result. Prior work has demonstrated that total reconstruction is not necessary for effective classification via PCA and other spectroscopic relevant techniques. Prior work revised the system design and modified the signal processing, both electronic and computational, to reduce system requirements. To propagate this savings back into the photonics and optical chain, it is necessary to further develop alternative techniques. In particular, a modification to the traditional LDA allows the contraction of primary optics. In this presentation an optical detector scheme is detailed. A number of configurations are considered with the most savings achieved by a spatial integrating version that allows the maintenance of optical and photonic SNR by collecting a number of photons greater than or equal to the traditional LDA. Since primary optical diameter is largely specified by the need to subtend an angle sufficient to overcome system noise, optical diameters can be reduced by up to an order of magnitude. This also mitigates optical diameter driven resolution at the detector plane. Some third order and higher issues exist and are addressed. Theoretical development with limited empirical support is to be presented.