remotesensingProject

This repository implements some depth map estimation algorithm using 3D light fields, originally proposed by Kim et al. in Scene Reconstruction from High Spatio-Angular Resolution Light Fields (2013).

This program was made in the framework of the course Remote sensing: from sensor to large-scale geospatial data exploitation of the Master 2 MVA (ENS Paris-Saclay, Telecom ParisTech).

The Doxygen documentation for this project can be found in the branch gh-pages and is published under this website.

Some sample satellite image and the computed disparity map

Dependancies

• OpenCV 3.x should be installed and findable.

• The program should be compiled with C++11 standards. In particular, this program makes use of <experimental/filesystem> and its corresponding library stdc++fs.

• OpenMP.

Minimal working example (with the right paths)

Assume we are in the folder containing README.md. The following commands builds the library and the tests and run the library's "Hello World!".

mkdir build
cd build
cmake ../RSLightFields
make
./test_read_tiff 0
./test_read_tiff 1