BS_Q09.TIF - Bering Sea U.S. EEZ GLORIA sidescan-sonar data mosaic (9 of 30) (LCC, 50 m, Clarke1866)

The GLORIA "passes" necessary to complete the mosaic were retrieved from magnetic tape. Navigation data were merged into the individual "passes" to update the header information with depth and location coordinates.

Slant-Range correction, the first of two geometric corrections, were applied to the "passes". Slant-range error is mislocation of pixels in the cross-track direction compared to their proper location on a map. This error occurs due to the way that the sidescan-sonar senses distance to a target. After the slant-range correction has been made, the across-track location of targets is accurate.

A series of radiometric corrections were then applied to the "passes". The first enhancement was used to correct for shading problems that occur in the across-track direction and are a function of attenuation in range distance and transmitter power build-up.

The next radiometric enhancement was applied in a two-part filtering process to remove the striped noise that can be found in side-scan sonar image in the across-track direction. The noise was removed by applying two separate boxcar filters: (1) a high-pass filter that will contain the high-frequency component of the image without the noise; and (2) a low-pass filter that will include the low-frequency component of the image without the noise.

The two filtered images were combined to recreate an image similar to the original but without the noise.

The second geometric correction, aspect-ratio distortion, was applied to the "passes". The aspect-ratio distortion was removed by using the navigation data to compute the distance traveled by the ship. Given the distance traveled, the number of pixels (each representing 50 m) required along the particular segment was calculated. The original pixels were then duplicated the appropriate number of times to fill the space with 50-meter pixels and thus achieve a 1:1 ratio between along-track and across-track distances. The practice of duplication to create a square 50-meter pixel size was followed so that information in the across-track direction would not have to be omitted.

The final enhancement, a 2 by 2 low-pass filter for smoothing the images, was applied to the "passes". Because the delta velocity correction typically stretches the imagery 1:2.5 times, a 2 by 2 low-pass filter is applied to the image to smooth and reduce the blockiness that results from the line duplication. The 2 by 2 low-pass filter smoothes out the blockiness introduced into the image without over smoothing and blurring the image.

After the geometric and radiometric corrections were applied, the data were ready for the digital mosaicking. The necessary segments of processed data, each representing about 6-hours of data acquisition, were spliced end-to-end to make continuous swaths for portions of the tracklines where the ship's heading remained generally constant and passed through the mosaic area. The segments were tone-matched by adjusting the average brightness to minimize the tonal contrast at the seams where they were joined. Latitude, longitude, and heading were determined along the trackline of each continuous segment of data at the start, end, and two intermediate points. These four control points, with eight additional points that were computed for the edges of the image segment, were used to position the segment within the map grid.

When the individual trackline segments had been georeferenced, the next step was to digitally stencil the segments to remove unwanted data (i.e. noise). Interactively, a line was drawn on a video display outlining the portion of each image segment to be retained while comparing it to adjacent segments. Then all pixels outside the area enclosed by the line were converted to zero values, thereby retaining only that portion of the image desired. Finally, each stenciled segment was mosaicked to adjacent segments, sequentially building the composite map. In this way a digital file was created with the desired map projection for each imagery sheet (mosaic).

The completed mosaic, in a raw binary format, was converted to an ArcInfo BIL format file.

The binary image files of the GLORIA mosaics were imported into an ArcMap map allowing the images to be georeferenced. ArcGIS 9.2

The GLORIA image was exported from the bil file format to a GeoTIFF image file format. ArcGIS 9.2

The image was modified to flood-fill the background 0 (black) data value to 255 (white). After modification, the header portion of the image was updated to restore the georeferencing information. An ESRI world file was generated using GeoTIFF tools, listgeo.exe.

Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog.

Added keywords from Coastal and Marine Ecological Classification Standard (CMECS) to metadata.

Edits to the metadata were made to fix any errors that MP v 2.9.46 flagged. This is necessary to enable the metadata to be successfully harvested for various data catalogs. In some cases, this meant adding text "Information unavailable" or "Information unavailable from original metadata" for those required fields that were left blank. Other minor edits were probably performed (title, publisher, publication place, etc.). Added a landing page link as the first link in the identification section. Fixed the date format in the time period of content. Removed LIDAR bounding coordinates - an artifact of Esri and MP processing. Attempted to modify http to https where appropriate. Added a cross-reference online link. The source information was incomplete and had to be modified to meet the standard. The metadata date (but not the metadata creator) was edited to reflect the date of these changes. The metadata available from a harvester may supersede metadata bundled within a download file. Compare the metadata dates to determine which metadata file is most recent.

Added keywords section with USGS persistent identifier as theme keyword.