Investigations on extraction of buildings from RS imagery using deep learning models
Author:
Affiliation:
1. Scientist ‘SG’ & Head Geoinformatics Department, Indian Institute of Remote Sensing, Dehradun, India
2. Department of Electronics and Communication, St. Joseph’s College of Engineering, Chennai, India
Funder
Indian Institute of Remote Sensing (IIRS), Dehradun and St. Joseph’s College of Engineering
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2292016
Reference109 articles.
1. Object-Based Rule Sets and Its Transferability for Building Extraction from High Resolution Satellite Imagery
2. Extraction of Buildings in Urban Area for Surface Area Assessment from Satellite Imagery based on Morphological Building Index using SVM Classifier
3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
4. Classification of hyperspectral data from urban areas based on extended morphological profiles
5. Classification and feature extraction for remote sensing images from urban areas based on morphological transformations
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