1. DSM Extraction From Pleiades Images Using MicMac
research progress
Muhammad Irsyadi Firdaus P

2. 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

3. With approximate sensor orientation – RPC bundle adjustment (recommended)
Figure 1: Satellite images processing workflow for DSM generation

4. 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:

5. 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).

6. 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.

7. 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.

8. 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

9. Thank you for your attention