کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6345487 1621221 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A generalized computer vision approach to mapping crop fields in heterogeneous agricultural landscapes
ترجمه فارسی عنوان
رویکرد دید کلی کامپیوتری برای نقشه برداری از زمینه های محصول در مناظر کشاورزی ناهمگن
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
چکیده انگلیسی
Smallholder farms dominate in many parts of the world, particularly Sub-Saharan Africa. These systems are characterized by small, heterogeneous, and often indistinct field patterns, requiring a specialized methodology to map agricultural land cover. Using a variety of sites in South Africa, we present a new approach to mapping agricultural fields, based on efficient extraction of a vast set of simple, highly correlated, and interdependent features, followed by a random forest classifier. We achieved similar high performance across agricultural types, including the spectrally indistinct smallholder fields as well as the more easily distinguishable commercial fields, and demonstrated the ability to generalize performance across large geographic areas. In sensitivity analyses, we determined multi-temporal information provided greater gains in performance than the addition of multi-spectral bands available in DigitalGlobe Worldview-2 imagery.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 179, 15 June 2016, Pages 210-221
نویسندگان
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