ICA neural net to refine remote sensing with multiple labels
Harold H Szu, James R. Buss · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
We show how the unsupervised ANN modeling of image fusion of HVS can embody the mathematics of ICA to achieve blind source de-mixing of remote sensing images. We have shown when tow eyes are extended to multiple pixel has a large footprint on the ground. MLRS gives the percentage composition of ground radiation sources within the footprint and thus overcome the so-called 'boundary error' coined by Tucker in the Amazon deforestation over-estimation as follows.