Detection of roof materials based on an object-oriented approach using worldview-2 satellite imagery
One of the most challenging tasks in urban remote sensing is detection of impervious surface (IS) which plays an important role in assessing urban environmental conditions. However, accurate impervious surface extraction is still a challenge. New methods are needed due to the rapid expansion and dev...
| المؤلف الرئيسي: | Mobarakeh, Ebrahim Taherzadeh |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | الإنجليزية |
| منشور في: |
2014
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://psasir.upm.edu.my/id/eprint/60109/1/FK%202014%2081IR.pdf |
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مواد مشابهة
-
Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
حسب: Myaser, Jwan
منشور في: (2020) -
Spectral discrimination and index development of roofing materials and conditions using field spectroscopy and worldview-3 satellite image
حسب: Samsudin, Sarah Hanim
منشور في: (2016) -
Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
حسب: Norman, Masayu
منشور في: (2019) -
Development of a new technique for road extraction and pavement surface condition mapping at primary level using worldview-2 satellite imagery
حسب: Shahi, Kaveh
منشور في: (2017) -
Object-based imagery analysis for automatic urban tree species detection using high resolution satellite image
حسب: Shojanoori, Razieh
منشور في: (2016)