کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6949466 1451272 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Segmentation quality evaluation using region-based precision and recall measures for remote sensing images
ترجمه فارسی عنوان
ارزیابی کیفیت تقسیم بندی با استفاده از روش دقیق بر اساس منطقه و اقدامات فراخوانی برای تصاویر سنجش از راه دور
کلمات کلیدی
سنجش از دور با رزولوشن بالا، تقسیم بندی تصویر، ارزیابی تقسیم بندی، اندازه گیری اختلاف، دقت و یادآوری، تجزیه و تحلیل تصویر مبتنی بر شیء جغرافیایی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
چکیده انگلیسی
Segmentation of remote sensing images is a critical step in geographic object-based image analysis. Evaluating the performance of segmentation algorithms is essential to identify effective segmentation methods and optimize their parameters. In this study, we propose region-based precision and recall measures and use them to compare two image partitions for the purpose of evaluating segmentation quality. The two measures are calculated based on region overlapping and presented as a point or a curve in a precision-recall space, which can indicate segmentation quality in both geometric and arithmetic respects. Furthermore, the precision and recall measures are combined by using four different methods. We examine and compare the effectiveness of the combined indicators through geometric illustration, in an effort to reveal segmentation quality clearly and capture the trade-off between the two measures. In the experiments, we adopted the multiresolution segmentation (MRS) method for evaluation. The proposed measures are compared with four existing discrepancy measures to further confirm their capabilities. Finally, we suggest using a combination of the region-based precision-recall curve and the F-measure for supervised segmentation evaluation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 102, April 2015, Pages 73-84
نویسندگان
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