position_aware non_negative matrix factorization for satellite image representation

توجه : به همراه فایل word این محصول فایل پاورپوینت (PowerPoint) و اسلاید های آن به صورت هدیه ارائه خواهد شد

 position_aware non_negative matrix factorization for satellite image representation دارای ۵ صفحه می باشد و دارای تنظیمات در microsoft word می باشد و آماده پرینت یا چاپ است

فایل ورد position_aware non_negative matrix factorization for satellite image representation  کاملا فرمت بندی و تنظیم شده در استاندارد دانشگاه  و مراکز دولتی می باشد.

توجه : در صورت  مشاهده  بهم ریختگی احتمالی در متون زیر ،دلیل ان کپی کردن این مطالب از داخل فایل ورد می باشد و در فایل اصلی position_aware non_negative matrix factorization for satellite image representation،به هیچ وجه بهم ریختگی وجود ندارد

بخشی از متن position_aware non_negative matrix factorization for satellite image representation :

تعداد صفحات :۵

چکیده مقاله:

Satellite images clustering is a challenging problem in remote sensing and machine vision, where each image content is represented by a high-dimensional feature vector. However,the feature vectors might not be appropriate to express the semantic content of images, which eventually leads to poorresults in clustering and classification. To tackle this problem, we propose a novel approach to generate compact and informativefeatures from image content. To this end, we utilize geometrical information (as meta data accompanied with images) in the context of Non-negative Matrix Factorization (NMF) to generatenew features. We assess the quality of new features by applying k-means clustering on the generated features and comparethe obtained clustering results with those achieved by original features. We perform experiments on several satellite image data sets represented by different state-of-the-art features and demonstrate the effectiveness of the proposed method