نتایج جستجو برای: local classification
تعداد نتایج: 997540 فیلتر نتایج به سال:
Various strategies have been developed to reduce water consumption in rice cultivation, including rice cultivation in water-saturated soil, drying and wetting of the soil (periodic irrigation), and aerobic rice cultivation. In this study, in order to identify and grouping rice cultivars suitable for aerobic cultivation, 34 cultivars of native and improved rice cultivars were selected and eval...
Hyperspectral sensors are important tools in monitoring the phenomena of the Earth due to the acquisition of a large number of spectral bands. Hyperspectral image classification is one of the most important fields of hyperspectral data processing, and so far there have been many attempts to increase its accuracy. Spatial features are important due to their ability to increase classification acc...
امروزه از مهمترین بحث هایی که بخش زیادی از زمان محققین را به خود اختصاص داده است، مباحث مربوط به آب به عنوان حیاتی ترین ماده بقای حیات انسان. تغییر در آب در دسترس می تواند واکنش جدی در پایداری آب زیست محیطی مناطق خشک و نیمه خشک ایجاد کند. لذا یکی از پر کاربردترین مباحث مربوط به هیدرولوژی بررسی هیدروگراف جریان می باشد که امکان مطالعه حجم سیلاب و میزان ذخیره حوزه پس از قطع بارندگی و نیز سهم آب زی...
This thesis considers view-based object recognition in images, a problem that is still lacking an effective solution despite decades of research in computer vision. It is worth remembering that recognising an object from its appearance is considered as a keystone for image understanding, one of the most challenging problems in computer vision. The study and the analysis of the visual informatio...
Digital 3D models of patients’ organs or tissues are often needed for surgical planning and outcome evaluation, or to select prostheses adapted to patients’ anatomy. Tissue classification is one of the hardest problems in automatic model generation from raw data. The existing solutions do not give reliable estimates of the accuracy of the resulting model. We propose a simple generative model us...
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