A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets
نویسندگان
چکیده
This study is a new assessment of damaged roads after the Kumamoto earthquake in southern Japan (2016) using remotely sensed synthetic aperture radar (SAR) data, field data and deep learning. Three SAR images from descending orbits Sentinel-1 VV (vertical-vertical) polarizations are considered for radiometric calibration, geocoding interferometric analyses. Field terms IRI (international roughness index) were gathered over more than 530 km smartphone accelerometer BumpRecorder application. The relationship between was investigated binary (0 1) mode to establish multilayer perceptron (MLP) model intact roads. We found remote sensing datasets suitable, not only detection but also as an indicator road changes. classification results indicated that our (SAR measurements), together with learning model, yielded acceptable overall accuracy (87.1%).
منابع مشابه
An Introduction to Synthetic Aperture Radar (sar)
This paper outlines basic principle of Synthetic Aperture Radar (SAR). Matched filter approaches for processing the received data and pulse compression technique are presented. Besides the SAR radar equation, the linear frequency modulation (LFM) waveform and matched filter response are also discussed. Finally the system design consideration of various parameters and aspects are also highlighted.
متن کاملCross Sea Detection Based on Synthetic Aperture Radar (sar) Data and Numerical Wave Model (wam)
The present paper is about the detection of cross seas based on ERS-2/SAR wave mode data and comparison to WAM model. A case of cross seas observed by ERS-2/SAR was analyzed for its generation and development by wave mode data together with the WAM model two-dimensional (2-D) spectra. The sea surface elevation is estimated from these wave mode data with cross sea features using a CMOD type tilt...
متن کاملThe Object Detection Efficiency in Synthetic Aperture Radar Systems
The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and cor...
متن کاملSynthetic Aperture Radar (SAR) ImagesProcessing: A Review
The Synthetic Aperture Radar (SAR) images are important application of optical satellite images because of its ability to operate in any weather conditions. This has applications in agriculture, geology, ecology, hydrology, oceanography and military, etc. With the improvement of SAR technology, the resolution of the images has increased. These images are corrupted by a strong noise, called Spec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2022
ISSN: ['2151-1535', '1939-1404']
DOI: https://doi.org/10.1109/jstars.2022.3189875