Automatic Detection of Low-Rise Gable-Roof Building from Single Submeter SAR Images Based on Local Multilevel Segmentation

Low-rise gable-roof buildings are a typical building type in shantytowns and rural areas of China. They exhibit fractured and complex features in synthetic aperture radar (SAR) images with submeter resolution. To automatically detect these buildings with their whole and accurate outlines in a single very high resolution (VHR) SAR image for mapping and monitoring with high accuracy, their dominant features, i.e., two adjacent parallelogram-like roof patches, are radiometrically and geometrically analyzed. Then, a method based on multilevel segmentation and multi-feature fusion is proposed. As the parallelogram-like patches usually exhibit long strip patterns, the building candidates are first located using long edge extraction. Then, a transition region (TR)-based multilevel segmentation with geometric and radiometric constraints is used to extract more accurate edge and roof patch features. Finally, individual buildings are identified based on the primitive combination and the local contrast. The effectiveness of the proposed approach is demonstrated by processing a complex 0.1 m resolution Chinese airborne SAR scene and a TerraSAR-X staring spotlight SAR scene with 0.23 m resolution in azimuth and 1.02 m resolution in range. Building roofs are extracted accurately and a detection rate of ~86% is achieved on a complex SAR scene

Abstracts on Radio Direction Finding (1899 - 1995)

The files on this record represent the various databases that originally composed the CD-ROM issue of "Abstracts on Radio Direction Finding" database, which is now part of the Dudley Knox Library's Abstracts and Selected Full Text Documents on Radio Direction Finding (1899 - 1995) Collection. (See Calhoun record https://calhoun.nps.edu/handle/10945/57364 for further information on this collection and the bibliography). Due to issues of technological obsolescence preventing current and future audiences from accessing the bibliography, DKL exported and converted into the three files on this record the various databases contained in the CD-ROM. The contents of these files are: 1) RDFA_CompleteBibliography_xls.zip [RDFA_CompleteBibliography.xls: Metadata for the complete bibliography, in Excel 97-2003 Workbook format; RDFA_Glossary.xls: Glossary of terms, in Excel 97-2003 Workbookformat; RDFA_Biographies.xls: Biographies of leading figures, in Excel 97-2003 Workbook format]; 2) RDFA_CompleteBibliography_csv.zip [RDFA_CompleteBibliography.TXT: Metadata for the complete bibliography, in CSV format; RDFA_Glossary.TXT: Glossary of terms, in CSV format; RDFA_Biographies.TXT: Biographies of leading figures, in CSV format]; 3) RDFA_CompleteBibliography.pdf: A human readable display of the bibliographic data, as a means of double-checking any possible deviations due to conversion