کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
555222 1451316 2010 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hyperspectral boundary detection based on the Busyness Multiple Correlation Edge Detector and Alternating Vector Field Convolution snakes
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
Hyperspectral boundary detection based on the Busyness Multiple Correlation Edge Detector and Alternating Vector Field Convolution snakes
چکیده انگلیسی

Active contours, or snakes, are broadly used to detect linear features such as edges. However, they are often restricted in the delineation of regions of interest within the hyperspectral domain. In this paper, a new approach is presented, referred to as “Busyness Multiple Correlation Edge Detector”, that enables hyperspectral boundary detection using active contours such as “Alternating Vector Field Convolution” snakes. The combination of “Alternating Vector Field Convolution” snakes with the “Busyness Multiple Correlation Edge Detector” opens a broad set of applications by concurrent high convergence quality and speed. Furthermore, specific snake initialisations are tested. A series of examples are used to both demonstrate the approach and underline the benefits of the new methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 65, Issue 5, September 2010, Pages 468–478
نویسندگان
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