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This data has achieved Bronze level on 25 October 2015 which means this data makes a great start at the basics of publishing open data.

Precise automatic image coregistration tools to enable pixel-level change detection Project

Description

Automated detection of land cover changes between multitemporal images has long been a goal of the remote sensing discipline. Most research in this area has focused on methods for detecting and categorizing changes captured by two or more images [Jensen, 1991, Singh, 1989; Coppin and Bauer, 1996], but precise coregistration of images is required and remains a key challenge [Dai and Khorram, 1998, Stow and Chen, 2002, Verbyla and Boles, 2000]. This SBIR project team proposes to develop a software package specifically optimized for automatic and precise coregistration of two or more images, which will in turn enable change detection algorithms to focus on salient changes rather than highlight image registration errors. In accordance with this subtopic?s guidance to ??focus on the systems engineering aspect of application development rather than fundamental research??, our project will emphasize integration of state of the art methods to create a flexible, robust, and easy to use tool. Presuming success through Phase II, this will enable NASA researchers and unsophisticated users to minimize or eliminate false ?changes? caused by image coregistration errors and thus increase utilization of Earth Science observations from NASA sensors and other data sources (IKONOS, aerial photography, etc.).

General Information

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This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.

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