کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6949145 1451234 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks
چکیده انگلیسی
In this work, we investigate various methods to deal with semantic labeling of very high resolution multi-modal remote sensing data. Especially, we study how deep fully convolutional networks can be adapted to deal with multi-modal and multi-scale remote sensing data for semantic labeling. Our contributions are threefold: (a) we present an efficient multi-scale approach to leverage both a large spatial context and the high resolution data, (b) we investigate early and late fusion of Lidar and multispectral data, (c) we validate our methods on two public datasets with state-of-the-art results. Our results indicate that late fusion make it possible to recover errors steaming from ambiguous data, while early fusion allows for better joint-feature learning but at the cost of higher sensitivity to missing data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 140, June 2018, Pages 20-32
نویسندگان
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