Search Results for "image processing c source code"

Madagascar is a software package for geophysical data processing and reproducible numerical experiments. The package mission is to provide a convenient environment for researchers working with digital image and data processing in geophysics and related fields.

SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting...

UPDATE March 14, 2018 Repository and tracking officially moved to github. https://github.com/opticks-org/opticks Sourceforge mailing lists are still in use. Opticks is an open source remote sensing application and development framework.

MeteosatTool is a program for visualization and processing of data from Meteosat Second Generation (MSG) geostationary meteorological satellite, and output data of SAFNWC, the Satellite Application Facilities for NoWCasting and very short range forecasting software package

Mseg is a generic region-based multi-scale image segmentation algorithm designed with some optimizations for remote sensing imagery. The algorithm can be used as a low level processing part of an object-oriented image analysis system.

...The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. ...