Youssefhazem15/Land-Type-Classification-using-Sentinel-2-Satellite-Images

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geospatial

Record type:

model

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You

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The Land Type Classification using Sentinel-2 Satellite Images project focuses on building a deep neural network (DNN) model for classifying various land types in Egypt based on Sentinel-2 satellite imagery. The aim is to classify major land types such as agricultural land, water bodies, urban areas, deserts, roads, and trees. # Land-Type-Classification-using-Sentinel-2-Satellite-Images The Land Type Classification using Sentinel-2 Satellite Images project focuses on building a deep neural network (DNN) model for classifying various land types in Egypt based on Sentinel-2 satellite imagery. The aim is to classify major land types such as agricultural land, water bodies, urban areas, deserts, roads, and trees.

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github.com

Tasks

computer vision image classification

ahm7daz0uz/Land-Type-Classification-using-Sentinel-2-Satellite-Images

An AI-powered solution for automated land type classification using Sentinel-2 satellite data. This

Ahmed-Rizk1/Land-Type-Classification-using-Sentinel-2-Satellite-Images

This project develops a deep neural network (DNN) model to classify different land types in Egypt—su

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