Published: Springer, 2020
Description:
1 online resource (x, 114 pages) : illustrations (some color).
Contents:
“…4 Training Deep Learning Models for Geographic Feature Recognition from Historical Maps4.1 Introduction; 4.2 Challenges in Using CNNs on Historical Maps; 4.2.1 Accurate Boundary Delineation of Geographic Features; 4.2.2 Scarce Training Data for Cartographic Documents; 4.3 Overview of
Semantic Segmentation for Geographic Feature Recognition from Map Scans; 4.3.1 VGG16: The 16-layer Very Deep Convolutional Networks for Large-Scale Image Recognition; 4.3.2 GoogLeNet; 4.3.3 ResNet; 4.3.4 The Encoder and Decoder Architecture for
Semantic Segmentation.…”
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