[Solved-1 Solution] Satellite Image Processing using HADOOP ?
Satellite Image Processing using Hadoop Framework:
- Complex image processing algorithms that require higher computational power with large scale inputs can be processed efficiently using the parallel and distributed processing of Hadoop MapReduce Framework.
- Hadoop MapReduce is a scalable model which is capable of processing petabytes (1015 order) of data with improved fault tolerance and data parallelism.
- we present a MapReduce framework for performing parallel remote sensing satellite data processing using Hadoop and storing the output in HBase.
- The speedup and performance show that by utilizing Hadoop, we can distribute our workload across different clusters to take advantage of combined processing power on commodity hardware.
Problem:
How to perform simple Image Processing of the stored Satellite Imagery using MapReduce Program ?
Solution 1:
- What we would do is to treat the image as a matrix. We can generate a flat file with tuples following this format:
(x coord, y coord, value)
- This is the way we can apply many image manipulations (rotate, substract 2 images, indentify connected components, do some border detection...).