Fundamentals of Image Processing for Remote Sensing

From Data Acquisition to Applications of Earth Observation Data

These lectures give an insight into the analysis of satellite data acquired by imaging sensors in a wide range of the electromagnetic spectrum. All the main processing steps are discussed: fundamentals on image acquisition and correction, image enhancement, filtering in both time and frequency domains, feature extraction (spectral, textural, salient points), dimensionality reduction, feature clustering and image classification.  Several applications are presented including agriculture, geology, and archaeology. Special attention is given to hyperspectral systems, which are able to measure the reflected solar energy from a target on ground in up to hundreds of contiguous and narrow spectral bands of the electromagnetic spectrum, providing information on the chemical composition of the target. Data acquired from these sensors will become widely available in the upcoming years to the scientific community.