Building Segmentation in Mountainous Environment Based on Improved Watershed Algorithm

Author:

Shi Huien1,Fu Wentao1,Huang Jianhua1

Affiliation:

1. Guilin University of Electronic Technology, Guilin, China

Publisher

ACM

Reference8 articles.

1. remote sensing image segmentation algorithm based on water-shed transform [J];Xiaogang Wang;Beijing Surveying and Mapping,2019

2. Rectangular building extraction from stereoscopic airborne Radar images

3. Object-based Boosting Method for Automatic Extraction of Building Objects in High Resolution Remote Sensing Images [J];Xian Sun;Journal of Electronics & Information Technology,2009

4. Object-oriented urban building extrac-tion with shadow assistance [J];Yanan Zhou;Geography and Geographic Information Science,2010

5. Recognition-Driven Two-Dimensional Competing Priors Toward Automatic and Accurate Building Detection

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1. SDCAFNet: A Deep Convolutional Neural Network for Land-Cover Semantic Segmentation With the Fusion of PolSAR and Optical Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

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