A NEW SATELLITE IMAGERY STEREO PIPELINE DESIGNED FOR SCALABILITY, ROBUSTNESS AND PERFORMANCE

This paper presents a new Multiview Stereo Pipeline (MVS), called CARS, dedicated to satellite imagery. This pipeline is intended for massive Digital Surface Model (DSM) production and has therefore been designed to maximize scalability robustness and performance. Those two properties have driven the design of the workflow as well as the choice of algorithms and parameter trends, making our pipeline unique with respect to existing solutions in literature. This paper intends to serve as a reference paper for the pipeline implementation, and therefore provides a detailed description of algorithms and workflow. It also demonstrates the pipeline robustness and stability in several use cases, and compares its accuracy with the state-of-the-art pipelines on a reference dataset.

Wave Pipelined Area Efficient LDPC Encoder

This paper present efficient design of Low Density Parity Check (LDPC) Encoder with wave psipeline. Comparing to decoding, LDPC Encoding was relatively more complex. There are several methods to perform encoding. Among all the existing methods to reduce parity check matrix Gauss Elimination method was used. To overcome the cons like latency and area overheads of conventional pipelining, Wave pipelining technique was used. LDPC encoding was designed with different stages of pipeline and the encoding performance is evaluated with wave pipeline. Implementation of this architecture was done on Xilinx FPGA XC2VP100 device. Wave pipeline will reduce the time delay and area overhead which can be proved by synthesis report.