کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6964823 1452368 2018 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
AutoCNet: A Python library for sparse multi-image correspondence identification for planetary data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
پیش نمایش صفحه اول مقاله
AutoCNet: A Python library for sparse multi-image correspondence identification for planetary data
چکیده انگلیسی
In this work we describe the AutoCNet library, written in Python, to support the application of computer vision techniques for n-image correspondence identification in remotely sensed planetary images and subsequent bundle adjustment. The library is designed to support exploratory data analysis, algorithm and processing pipeline development, and application at scale in High Performance Computing (HPC) environments for processing large data sets and generating foundational data products. We also present a brief case study illustrating high level usage for the Apollo 15 Metric camera.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: SoftwareX - Volume 7, January–June 2018, Pages 37-40
نویسندگان
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