PCI obtained great results on the first try so the settings were not changed resulting in only one PCI mosaic image. Visual comparisons of some attempted mosaicking settings are shown below. However, to properly use the Mosaic Pro option, you must properly. Mosaic Pro gives you a host of options to assure your image will give you proper representation. For serious image analysis and interpretation one should use Mosaic Pro within ERDAS Imagine. PCI prevents this by having the user extract the data before importing it into the software. One should never do serious model analysis or interpretation of a Mosaic Express image. tar.gz which resulted in corruption of one file. In using downloads from the Libra website there were no compatibility issues in PCI while ERDAS required file conversion from. It is possible that atmospheric correction may have provided an improved ERDAS result and with proper extensions this could be better tested.Īdditionally the import workflow in PCI is very user friendly and does not require exporting within the software. The downside with PCI is that the resultant image is darker than in ERDAS, but this is easy to fix by changing very simple contrast and brightness settings. PCI creates a responsive edge between the two images instead of a straight line such as ERDAS which may be related to the better results. ![]() ERDAS has a functionality for this but I had difficulty making it work. The ERDAS workflow is slightly more intuitive with the use of Mosaic Pro but the difficulty with showing demos is a clear set back. In ERDAS there was a clear difficulty with making the images radiometrically similar using automatic settings. The colour balancing was more complete and the result was more seamless. Overall the better result was achieved through PCI Geomatica. Manual radiometric adjustments may aid in better results (i.e adjusting the most northern image manually) but this was not done for this project. Non default settings attempted include seamline settings such as feathered edges, overlapping edges and averaging as well as colour corrections including colour balancing and histogram balancing and illumination equalization. ![]() Attempting colour corrections seemed to result in worse results. The best results were obtained using default settings. Default settings vs averaging and feathered seamline methods are shown to the right. This workflow lets you apply color balancing and edge feathering to create a. ERDAS IMAGINE performs advanced remote sensing analysis and spatial modeling to create new information that lets you. The results were not seamless and despite trying many settings good results were not obtained. Use the Seamless Mosaic workflow to mosaic georeferenced images into one image. ERDAS IMAGINE 2016 (64-bit) is a full release product that includes all three tiers of ERDAS IMAGINE (32-bit), IMAGINE Photogrammetry, ERDAS ER Mapper, and most associated add-ons. The 2D Mosaic Pro tool was used for the mosaicking of the three images. To accomplish this using available licenses would have required dark pixel subtraction or TOA correction using self built models in spatial model. Due to extension limitations and the determination in PCI that the atmospheric correction was not absolutely required, the erdas data was not corrected. Once complete the multispectral imagery is available for manipulation. In order to mosaick in ERDAS the landsat imagery must be imported using the manage data –> import data tool.
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