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Building Extraction Techniques for Remote Sensing Images
These researchers are trying to figure out a way to automatically identify buildings in satellite imagery without having to manually label every single pixel…
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Deep Learning for Building Detection in Remote Sensing Imagery
In this tutorial, we will explore how to apply deep learning techniques specifically to remote sensing imagery for building detection. We will use U-Net…
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Deep Learning for Building Footprint Extraction Using GRSL_BFE_MA Model With Missing Annotations
It’s the process of identifying and extracting the shape or outline of an object in an image, like a building or a tree. This…
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Building Segmentation using TensorFlow and Google Earth Engine
This is a fancy way of saying we’re going to use some cool tools to analyze satellite images and figure out what’s where on…
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Mapping Africa’s Buildings with Satellite Imagery
Use examples when they help make things clearer. This is particularly important for regions that are rapidly expanding or experiencing significant population growth, as…
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Segmenting Roads and Buildings in Satellite Imagery using Deep Learning
Use examples when they help make things clearer. The goal is to identify which parts of the image are roads or buildings by breaking…
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Deep Learning for Road Extraction in Satellite Imagery
Use examples when they help make things clearer. In recent years, there has been a significant increase in the use of deep learning techniques…
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Road Network Inference and Building Footprint Extraction using Deep Learning
This might sound like common sense, but it’s actually pretty impressive when you think about how many different factors can affect this process (like…
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Deep Learning Algorithms for Road Network Inference
It might sound like magic, but it’s actually pretty simple once you understand the basics. First off, let me explain how traditional methods of…
