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Deep Learning for Burned Area Detection using Sentinel-2
Use examples when they help make things clearer. Let me break it down for you! We have developed a system that uses satellite images…
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Deep Learning for Water Segmentation in Multispectral Images
And we want to find it using deep learning! So how does this work exactly? Well, first we feed our multispectral images into a…
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Deep Learning for Tree Detection in Satellite Imagery
Essentially, we have a bunch of satellite images that contain trees (or not), and we want to teach a computer how to identify which…
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UNet for Semantic Segmentation of Soybean Crop Fields using Sar Images
First off, what semantic segmentation is. It’s like coloring in a picture with different colors for each object or category (like red for stop…
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Deep Learning for Semantic Segmentation of Soyabean Crop Fields using SAR Images
Use examples when they help make things clearer. So basically, this paper is all about using deep learning techniques to analyze satellite images of…
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Deep Learning for Remote Sensing Image Classification
Use examples when they help make things clearer. One important application is remote sensing image classification, which involves using computer algorithms to identify different…
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DPA: Unsupervised Domain Adaptation Method for Satellite Images
Essentially, what this means is that we can take a bunch of pictures from one place (let’s say, the United States) and use them…
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Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images
Use examples when they help make things clearer. To map land use and land cover using deep learning based segmentation approaches, we can analyze…
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Deep Learning for Land Use Classification using Sentinel-2 Imagery
Use examples when they help make things clearer. Let’s talk about deep learning for land use classification using Sentinel-2 imagery. This is a fancy…
