Python Image Processing Project -Consistent Network for Remote Sensing Classification- ClickMyProjec

Remote sensing image scene classification, which aims at labelling remote sensing images with a set of semantic categories based on their contents, has broad applications in a range of fields. Propelled by the powerful feature learning capabilities of deep neural networks, remote sensing image scene classification driven by deep learning has drawn remarkable attention and achieved significant breakthroughs. However, to the best of our knowledge, a comprehensive review of recent achievements regarding deep learning for scene classification of remote sensing images is still lacking. Considering the rapid evolution of this field, this process provides a systematic survey of deep learning methods for remote sensing image scene classification. The remote sensing images are taken as the input and analyse the remote sensing scene through deep learning technique and analysing the sensing scene of the image and the deep learning algorithm is implemented and it will train all images and predict the result based on accuracy, precision, recall and F1-score.

Including Packages
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* Base Paper
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Readme File
* Addons
* Video Tutorials
* Supporting Softwares

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