Superpixel-Based Shallow Convolutional Neural Network (SSCNN) for Scanned Topographic Map Segmentation

Superpixel-Based Shallow Convolutional Neural Network (SSCNN) for Scanned Topographic Map Segmentation

Motivated by applications in topographic map information extraction, our goal was to discover a practical method for scanned topographic map (STM) segmentation. We present an advanced guided watershed transform (AGWT) to generate superpixels on STM. AGWT utilizes the information from both linear and...

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Bibliographic Details
Main Authors: Tiange Liu, Qiguang Miao, Pengfei Xu, Shihui Zhang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
scanned topographic map
segmentation
superpixel
shallow convolutional neural network
watershed transform
Online Access:https://www.mdpi.com/2072-4292/12/20/3421

Internet

https://www.mdpi.com/2072-4292/12/20/3421

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