Erdas Imagine 2011 Crack File
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ERDAS IMAGINE 2011 File
ERDAS IMAGINE is a software platform that integrates geospatial image processing and analysis, remote sensing and GIS into a single powerful, convenient package. ERDAS IMAGINE 2011 is the latest version of the software, which was released in January 2011. One of the features of ERDAS IMAGINE is that it uses a tiled format to store raster data in .img files. These files use the ERDAS IMAGINE Hierarchal File Format (HFA) structure, which allows raster layers to be displayed and resampled quickly. In this article, we will explore the characteristics and benefits of the ERDAS IMAGINE 2011 file format.
What is a .img file?
A .img file is a raster data file that contains one or more layers of imagery, such as satellite images, aerial photos, digital elevation models, or thematic maps. A .img file can also store metadata, such as projection information, statistics, color maps, and histograms. A .img file can be created or imported by ERDAS IMAGINE software, or by other applications that support the HFA format.
How is a .img file structured?
A .img file consists of different objects of data stored in a hierarchical manner. The main objects are:
- The header object, which contains general information about the file, such as the file name, version, creation date, and number of layers.
- The layer object, which represents a single layer of raster data. Each layer object has its own attributes, such as data type, dimensions, block size, compression type, statistics, and color map.
- The block object, which stores the actual pixel values of a layer. Each layer is divided into tiles (i.e., blocks) of equal size when ERDAS IMAGINE creates or imports a .img file. The block size can be defined by the user or by the software. The block object also contains information about the location and size of the block within the layer.
- The metadata object, which stores additional information about the file or the layer, such as projection parameters, coordinate system, georeferencing information, sensor type, acquisition date, etc.
What are the advantages of using a .img file?
The .img file format offers several benefits for storing and processing raster data. Some of these benefits are:
- The tiled format allows fast access and display of large raster datasets. The software only needs to read the blocks that are visible in the viewer, rather than loading the entire layer into memory. This reduces the memory requirements and improves the performance.
- The tiled format also enables parallel processing of raster data. The software can distribute the processing tasks among multiple cores or servers, speeding up the computation and output generation. For example, ERDAS IMAGINE 2011 introduces ERDAS Engine, a cost-effective solution that boosts processing power for ERDAS IMAGINE and LPS by leveraging existing hardware resources.
- The HFA format supports various data types and compression methods. The user can choose the appropriate data type and compression type for each layer according to their needs and preferences. The HFA format also supports storing multiple layers with different resolutions and projections in a single .img file.
- The HFA format supports storing metadata in a flexible and extensible way. The user can add custom metadata fields to the file or the layer using ERDAS IMAGINE or other applications. The metadata can be used for data management, quality control, analysis, or visualization purposes.
Conclusion
In conclusion, ERDAS IMAGINE 2011 is a powerful software platform that integrates geospatial image processing and analysis, remote sensing and GIS into a single package. One of its features is that it uses a tiled format to store raster data in .img files. These files use the HFA structure, which offers several advantages for accessing, displaying, processing, and managing raster data. The .img file format is supported by ERDAS IMAGINE and other applications that can read and write HFA files.