Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157282
Title: Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence
Authors: Xing, Aoyang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Xing, A. (2022). Cloud removal in optical remote sensing imagery based on SAR-guided inpainting with artificial intelligence. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157282
Project: A3134-211
Abstract: Cloud is a very common weather phenomenon. For optical satellite photo, the occlusion of the image by the cloud layer is very serious. Sometimes cloud will cover up more than 50% of the optical image. Some areas are even unobservable for two to three months. Synthetic aperture radar (SAR) is a modern high-resolution microwave imaging radar. It is able to penetrate the clouds to get information of the ground. However, since SAR is not optical imaging, the imaging effect is very different from the optical image. Computer Version has made a great progress in recent years. Recently, the ability of recognizing processing images is comparable to that of humans. It has achieved automatic extraction, analysis and understanding of useful information from the images. In this project, I will use image processing, SAR image processing and such deep learning tools as Generative Adversarial Network (GAN) and Convolutional Neural Network (CNN) to recover the cloud masked optical image with SAR image.
URI: https://hdl.handle.net/10356/157282
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
XAY_Final_Report.pdf
  Restricted Access
3.63 MBAdobe PDFView/Open

Page view(s)

98
Updated on Jun 18, 2024

Download(s)

3
Updated on Jun 18, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.