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Apr, 2019
使用Sentinel-2卫星进行全国范围高分辨率植被高度制图
Country-wide high-resolution vegetation height mapping with Sentinel-2
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Nico Lang, Konrad Schindler, Jan Dirk Wegner
TL;DR
文章利用收集的静止卫星Sentinel-2多光谱图像,通过基于深度卷积神经网络(CNN)的图像处理,从反射图像中提取适合的光谱和纹理特征,以回归像素高度来估算瑞士和加蓬的植被高度,从而在国家范围内生成10米地面采样距离(GSD)的高分辨率植被高度地图。
Abstract
sentinel-2
multi-spectral images collected over periods of several months were used to estimate
vegetation height
for Gabon, respectively Switzerland. A deep convolutional network was trained to extract suitable
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