DSM Extraction From Pleiades Images Using MicMac research progress Muhammad Irsyadi Firdaus P66067055
The satellite datasets Three Pleiades images are a part of a sample dataset. The location of study area is Taipei, Taiwan. The orignal JPEG2000 images must be converted to tiff using Envi Software. Below is the result of convert file to *.tif format RPC
With approximate sensor orientation – RPC bundle adjustment (recommended) Figure 1: Satellite images processing workflow for DSM generation
Step by Step Using satellite images The input files with rational polynomial coefficients ought to be converted to a MicMac readable format, and the processing coordinate system defined: which is equivalent of independently running the same command for three images:
The tie points can now be extracted from the images: In the Tapioca process, the image will be matched with another image resulting in the tie points used for the next process. Given the extracted tie points, the RPC bundle adjustment can proceed with the simplified tool Campari This section describes how to utilize the Campari simplified tool to refine the orientation parameters provided in form of the rational polynomial coefficients (RPCs).
This is the result of the RPC Bundle Adjustment process resulting in Residual of each image with multiple iterations. I've found a solution from a previous problem to convert RPC (rational polynomial coefficients) into a readable format in MicMac. I already have the latest MicMac documentation book, I got from the MicMac forums, Last Updated July 17, 2017 then this is very helpful in research about generating DSM from Pleiades image.
The DSM generation is handled, again, by the simplified tool Malt But I have a problem when running malt process for dense matching images, I still can not find the solution and I have tried to discuss in MicMac forum and Luc Girod.
The next step I should do is Find the problem solution for Malt process Transformation to a common coordinate system using mm3d NuageBascule Visualize in ply format using mm3d Nuage2Ply
Thank you for your attention