Trends on information processing for remote sensing

There has been greatly increased activity in the last twelve years on the use of information processing techniques on remote sensing problems including signal/image processing, compression, segmentation, feature extraction, pattern recognition, neural networks, etc. The past progress is reviewed from which a trend is developed. The trend shows a further emphasis on using neural networks and wavelet transforms for remote sensing.