A computer program provides for automated generation of maps from data acquired via C-band interferometric synthetic-aperture radar (IFSAR). The program reads in height, radar-brightness, and correlation data generated by IFSAR processors and computes a series of image features to be used in classifying terrain. Correlations between IFSAR channels are used to estimate new terrain-classification parameters. Classification is accomplished by use of a Bayesian classifier and is followed by spatial editing of terrain classes. Next, various additional layers of data (pertaining to IFSAR height error, shaded relief, drainage, and mountains) are computed and the data are projected into the universal transverse Mercator coordinate system. The results of the foregoing process are then turned into cartographic products with the help of commercially available software.
This program was written by Ernesto Rodriguez, Thierry Michel, Jan Martin, and Bijan Houshmand of Caltech for NASA's Jet Propulsion Laboratory. NPO-20325
This Brief includes a Technical Support Package (TSP).
Program generates maps from IFSAR
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Overview
The document outlines a significant advancement in mapping technology developed by NASA's Jet Propulsion Laboratory (JPL). It introduces a computer program designed to automate the generation of maps using C-band interferometric synthetic-aperture radar (IFSAR) data. This innovative program processes various types of data to classify terrain effectively, resulting in detailed cartographic products that can enhance our understanding of geographical features.
The program's primary function is to analyze IFSAR data, which is known for its high-resolution capabilities in capturing topographical information. By automating the mapping process, the program aims to improve efficiency and accuracy in producing maps, which are essential for various applications, including environmental monitoring, urban planning, and disaster response.
The document emphasizes the collaborative efforts of talented inventors from Caltech, highlighting the interdisciplinary approach taken in developing this technology. The integration of advanced algorithms and data processing techniques allows for the classification of different terrain types, which is crucial for creating reliable maps. The program is designed to handle complex datasets and generate outputs that can be utilized by researchers, policymakers, and other stakeholders.
Additionally, the document discusses the challenges faced during the development of the program, such as ensuring comprehensive coverage of the terrain and addressing the variability in data quality. It mentions the importance of creating a ground truth set for verification purposes, which involves selecting representative regions for classification based on available ground truth information. This process is vital for validating the accuracy of the generated maps and ensuring that they meet the required standards.
Overall, the document presents a promising tool that leverages cutting-edge technology to enhance mapping capabilities. By automating the generation of maps from IFSAR data, the program not only streamlines the mapping process but also opens up new possibilities for research and application in various fields. The advancements made in this project reflect the ongoing commitment of NASA and its partners to innovate and improve our understanding of the Earth's surface through technology.
