Use of adaptive segmentation and classification algorithms in satellite imagery

Use of satellite imagery continues to grow. Development of DSP algorithms for automated analysis is therefore becoming increasingly important. Areas of immediate application are diverse such as agriculture, deforestation, soil erosion, etc. This paper presents adaptive edge algorithms which identify region boundaries and pattern recognition algorithms to classify the regions within these boundaries. An illustrative example using a satellite image of an agricultural area is presented to demonstrate these algorithms.