COMPRESSING IMAGERY TO SAVE STORAGE SPACE
Do you work in an industry where you use massive, high-resolution images or point clouds? GeoCompressor lets you compress massive imagery or point clouds into much smaller files that are visually lossless, meaning that you cannot tell they are compressed by looking at them. Using GeoCompressor, you can:
- Compress terapixel-sized imagery or point cloud files with billions of points.
- Compress thousands of image files into a single mosaic
- Update a region within an existing mosaic instead of having to recreate the mosaic every time a region in it changes
- Clip to a polygon boundary to add the flexibility to create output products in accordance with arbitrary polygon definitions.
WHAT IS GEOCOMPRESSOR?
GeoCompressor is a high-performance geospatial image and point cloud compression application that allows you to access Hexagon Geospatial’s unparalleled compression technology in an independent fashion. Throughput in excess of 180 MB/sec can be seen on commodity hardware and terapixel output images, making GeoCompressor the most high-performance mosaicking and compression tool on the market regardless of imagery size or amount.
GeoCompressor also delivers on its objective of being a service that “just compresses,” as it is compatible with Hexagon Geospatial technology, but also works with other data provider
processing workflows as well to allow for flexibility in choosing the best option for you and your budget. We designed this 64-bit system for compatibility with Windows and Linux operating systems, providing a simple wizard interface with both. GeoCompressor’s default settings also
include a streamlined compression process, but command-line mode allows for even more specificity and control over resulting files.
- The service takes as input over 100 supported file types
- Can output compressed Enhanced Compression Wavelet (ECW) or JPEG2000 (JP2) files
- Compress a single file.
- Compress a batch of images into a mosaic.
- Update a region within an existing ECW v3 file, eliminating the need to recreate a mosaic to include new data.
- Create multiple compressed output files from a single mosaic that have been clipped to polygon boundaries.
POINT CLOUD COMPRESSION
- Point cloud compression accepts LAS/LAZ file input, which are the standard formats for airborne lidar data
- The content is compressed to Hexagon Point Cloud (HPC) files.
- HPC format is significantly faster than existing storage formats, contains internal levels of detail and, due to its patented storage and rendering engine, can be streamed in a server-to-client environment like ERDAS APOLLO.
- These files can be viewed and utilized across other Hexagon Geospatial applications and compressed up to ten times smaller than the original data.