A Comprehensive Study on Road Quality Measurement from High Resolution Satellite Imagery-Reference-Cited by-同舟云学术

A Comprehensive Study on Road Quality Measurement from High Resolution Satellite Imagery

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Kalpoma Kazi A¹,Shome Dipesh¹,Sikder Anas¹,Jahin Abrar¹

Affiliation:

1. Ahsanullah University of Science and Technology (AUST),Department of Computer Science and Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884463.pdf?arnumber=9884463

Reference21 articles.

1. Classification of large-scale high-resolution sar images with deep transfer learning;huang;IEEE Geoscience and Remote Sensing Letters,2020

2. Multiscale Satellite Image Classification Using Deep Learning Approach

3. Measuring human and economic activity from satellite imagery to support city-scale decision-making during covid-19 pandemic;minetto;ArXiv Preprint,2020

4. Landsat 8 oli satellite image classification using convolutional neural network;kumar rai;Procedia Computer Science,0

5. ROOF TYPE SELECTION BASED ON PATCH-BASED CLASSIFICATION USING DEEP LEARNING FOR HIGH RESOLUTION SATELLITE IMAGERY

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3. Road Quality Measurement System Using Satellite Images for National Highways of Bangladesh;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. Deep Learning Image Segmentation for Satellite Images of National Highways of Bangladesh;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16