Provide a unique layer of information to your data with ENVI SARscape tools that let you analyze processed imagery.
Once the SAR data is in an image format, you can use all the available ENVI classification tools to identify and map features in the image.
Extract different feature parameters from intensity images or image pairs in several ways, such as by calculating coherence from a pair of images to detect changes in features over time, by using the coefficient of variation to extract features based on texture, or by using a time series of images to calculate a ratio to better extract features from SAR data. The images produced during the feature extraction process are based on first order and time-series statistics and can also be used as inputs for classification or quantitative analysis.
Generate a coherence map derived from interferometric processing of image pairs to detect changes of the same area over time. Changes of coherence over time can be used to create activity maps to detect paths, roads, or meeting places used by vehicles, humans or animals during the interval of time between two images. Change detection tools are also used to detect changes in the amplitude signal of the SAR data over time.
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