Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956671
D. Oletić, V. Bilas
Formation of embolisms in plant’s xylem water transport vessels is considered a major cause of plant mortality due to water-stress. Passive ultrasonic acoustic emissions (AE) monitoring shows the most potential for field-quantification of embolism level. However, this requires designing energy-efficient embedded hardware for autonomous high-speed ultrasonic AE acquisition, processing, and storage. In this paper we present a piezoelectric sensor interface for triggered AE acquisition at 2 MS/s. Its design requirements were assessed by laboratory dehydration experiments on grapevine pot-plants. An embedded prototype was design and characterized. The proposed architecture enables event-based acquisition of AE within 120-550 kHz band, at 5.7 mW average power, and 717 ns wakeup-latency.
{"title":"Piezoelectric sensor front-end for energy-efficient acquisition of ultrasonic emissions related to water-stress in plants","authors":"D. Oletić, V. Bilas","doi":"10.1109/SENSORS43011.2019.8956671","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956671","url":null,"abstract":"Formation of embolisms in plant’s xylem water transport vessels is considered a major cause of plant mortality due to water-stress. Passive ultrasonic acoustic emissions (AE) monitoring shows the most potential for field-quantification of embolism level. However, this requires designing energy-efficient embedded hardware for autonomous high-speed ultrasonic AE acquisition, processing, and storage. In this paper we present a piezoelectric sensor interface for triggered AE acquisition at 2 MS/s. Its design requirements were assessed by laboratory dehydration experiments on grapevine pot-plants. An embedded prototype was design and characterized. The proposed architecture enables event-based acquisition of AE within 120-550 kHz band, at 5.7 mW average power, and 717 ns wakeup-latency.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74010939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956602
Aanchal Alagh, F. Annanouch, E. Llobet
Recently layered inorganic materials analogues to graphene such as two-dimensional transition metal dichalcogenides (2D TMDs) have emerged as promising building blocks for the gas sensing industry. Indeed, they show impressive semiconducting properties, tunable band gap, large surface area and excellent gas adsorbing capacities. Herein, we report for the first time, on a single step synthesis of 3D assembly of layered WS2 sensing material, via hydrogen free, atmospheric pressure CVD technique, directly on silicon oxide substrate for NO2 resistive gas sensing application. E-SEM, EDX and Raman spectroscopy were used to investigate the morphology and composition of the grown material. Demonstration of WS2 sensor towards one of the most pollutant gases (NO2) showed promising results with high sensitivity and low detection limit below 20 ppb.
{"title":"Single-step CVD synthesis of layered WS2 films for NO2 gas sensing","authors":"Aanchal Alagh, F. Annanouch, E. Llobet","doi":"10.1109/SENSORS43011.2019.8956602","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956602","url":null,"abstract":"Recently layered inorganic materials analogues to graphene such as two-dimensional transition metal dichalcogenides (2D TMDs) have emerged as promising building blocks for the gas sensing industry. Indeed, they show impressive semiconducting properties, tunable band gap, large surface area and excellent gas adsorbing capacities. Herein, we report for the first time, on a single step synthesis of 3D assembly of layered WS2 sensing material, via hydrogen free, atmospheric pressure CVD technique, directly on silicon oxide substrate for NO2 resistive gas sensing application. E-SEM, EDX and Raman spectroscopy were used to investigate the morphology and composition of the grown material. Demonstration of WS2 sensor towards one of the most pollutant gases (NO2) showed promising results with high sensitivity and low detection limit below 20 ppb.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75653438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956774
Feifei Zhou, Xiangyu Li, Zhihua Wang
A low-complexity gesture recognition algorithm robust to temporal variations of motions is proposed for ultrasonic sensing based free air gesture human-computer interface in this paper. During training and testing, it aligns the features extracted from the range-Doppler map of each frame with the template sequence of each class by dynamic time warping in advance. For each class, a two-class random forest that makes prediction according to the aligned features is trained. Experiments show that the proposed classifier trained by 6 people has a better leave-one-out cross validation accuracy compared with the competitors. It can identify 8 gestures with 93.9% accuracy in 37 ms on PC. Its model size is 5.8 Mbytes.
{"title":"Efficiently User-Independent Ultrasonic-Based Gesture Recognition Algorithm","authors":"Feifei Zhou, Xiangyu Li, Zhihua Wang","doi":"10.1109/SENSORS43011.2019.8956774","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956774","url":null,"abstract":"A low-complexity gesture recognition algorithm robust to temporal variations of motions is proposed for ultrasonic sensing based free air gesture human-computer interface in this paper. During training and testing, it aligns the features extracted from the range-Doppler map of each frame with the template sequence of each class by dynamic time warping in advance. For each class, a two-class random forest that makes prediction according to the aligned features is trained. Experiments show that the proposed classifier trained by 6 people has a better leave-one-out cross validation accuracy compared with the competitors. It can identify 8 gestures with 93.9% accuracy in 37 ms on PC. Its model size is 5.8 Mbytes.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72779378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956779
Ardalan Lotfi, C. Heist, Alexander Warren, M. Navaei, P. Hesketh
In this paper, we present the design, fabrication and experimental evaluation of a platinum balanced cantilever-based TCD. The TCD is fabricated by sandwiching a thin layer of Al2O3 between platinum layers. The residual stress in platinum films were used to keep the cantilever flat. The miniaturization and geometric design of the TCD facilitates high operating temperature of 300 ºC with a power consumption of 8 mW. The sensor’s sensitivity to temperature and flow rate changes was evaluated for several operating temperatures, 105, 140 and 300 ºC. It revealed that sensitivity to temperature changes decreases as the sensor’s operating temperature increases. The TCD was connected to a GC system to compare its detection performance with a standard FID for a hydrocarbon mixture. The platinum balanced TCD also succeeded in detecting 5 ppm of ammonia.
{"title":"Platinum Balanced Cantilever-based Thermal Conductivity Detector for Gas Chromatography Application","authors":"Ardalan Lotfi, C. Heist, Alexander Warren, M. Navaei, P. Hesketh","doi":"10.1109/SENSORS43011.2019.8956779","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956779","url":null,"abstract":"In this paper, we present the design, fabrication and experimental evaluation of a platinum balanced cantilever-based TCD. The TCD is fabricated by sandwiching a thin layer of Al2O3 between platinum layers. The residual stress in platinum films were used to keep the cantilever flat. The miniaturization and geometric design of the TCD facilitates high operating temperature of 300 ºC with a power consumption of 8 mW. The sensor’s sensitivity to temperature and flow rate changes was evaluated for several operating temperatures, 105, 140 and 300 ºC. It revealed that sensitivity to temperature changes decreases as the sensor’s operating temperature increases. The TCD was connected to a GC system to compare its detection performance with a standard FID for a hydrocarbon mixture. The platinum balanced TCD also succeeded in detecting 5 ppm of ammonia.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75490775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956692
Keshava Praveena Neriya Hegade, R. Natalia, B. Wehba, R. Bhat, M. Packirisamy
Fluid structure interaction (FSI) of Polydimethylsiloxane (PDMS) microcantilever under fluid flow was studied for air flow sensing application. 3x8x0.250 mm microcantilever was used for the study. A low speed mini wind tunnel which provides laminar flow inside the test section was used. The micro cantilever was subjected to fluid load with flow rate up to 360ml/s. COMSOL simulation was performed using FSI module to test the microcantilever deflection. It was found that the deflection of the microcantilever beam increases with increase in fluid flowrate. Experimental result are in agreement with simulation results.
{"title":"Fluid microstructure interaction based air flow sensor","authors":"Keshava Praveena Neriya Hegade, R. Natalia, B. Wehba, R. Bhat, M. Packirisamy","doi":"10.1109/SENSORS43011.2019.8956692","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956692","url":null,"abstract":"Fluid structure interaction (FSI) of Polydimethylsiloxane (PDMS) microcantilever under fluid flow was studied for air flow sensing application. 3x8x0.250 mm microcantilever was used for the study. A low speed mini wind tunnel which provides laminar flow inside the test section was used. The micro cantilever was subjected to fluid load with flow rate up to 360ml/s. COMSOL simulation was performed using FSI module to test the microcantilever deflection. It was found that the deflection of the microcantilever beam increases with increase in fluid flowrate. Experimental result are in agreement with simulation results.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75719620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956498
N. Gulnizkij, G. Gerlach
This contribution presents a hydrogel-based bistable sensor switch with a switching hysteresis for the measurement of the relative humidity via a moisture-sensitive swellable material in ambient air. The sensor enables the continuous inline monitoring and control of the relative humidity, for example in buildings and containers. Since the required energy is taken from the environment, the sensor does not need any internal electrical energy supply for the monitoring of the relative humidity and the operation. To protect the sensor from arcing and damage the contacts have to close or open very fast, i.e. the sensor has to show a switching hysteresis. This contribution deals with the principle concept of a sensor switch and the implementation of such a switching hysteresis based on a mono-/bimorph beam partly covered with hydrogel. For that, it provides a simple mathematical model to describe the switching in dependence on the geometry parameters and the material properties of the sensor. The switching hysteresis is implemented by a pre-deflection due to an axial force and by buckling resulting from the hydrogel swelling. To prove the switching hysteresis a macroscopic sensor switch was studied and, from the results, the mathematical model was validated. Based on the obtained results a miniaturized silicon-based sensor switch is proposed.
{"title":"Bistable Hydrogel-based Sensor Switch for Monitoring Relative Humidity","authors":"N. Gulnizkij, G. Gerlach","doi":"10.1109/SENSORS43011.2019.8956498","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956498","url":null,"abstract":"This contribution presents a hydrogel-based bistable sensor switch with a switching hysteresis for the measurement of the relative humidity via a moisture-sensitive swellable material in ambient air. The sensor enables the continuous inline monitoring and control of the relative humidity, for example in buildings and containers. Since the required energy is taken from the environment, the sensor does not need any internal electrical energy supply for the monitoring of the relative humidity and the operation. To protect the sensor from arcing and damage the contacts have to close or open very fast, i.e. the sensor has to show a switching hysteresis. This contribution deals with the principle concept of a sensor switch and the implementation of such a switching hysteresis based on a mono-/bimorph beam partly covered with hydrogel. For that, it provides a simple mathematical model to describe the switching in dependence on the geometry parameters and the material properties of the sensor. The switching hysteresis is implemented by a pre-deflection due to an axial force and by buckling resulting from the hydrogel swelling. To prove the switching hysteresis a macroscopic sensor switch was studied and, from the results, the mathematical model was validated. Based on the obtained results a miniaturized silicon-based sensor switch is proposed.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73702486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956678
R. Mok, Pedro Silveira, A. Dante, J. Vargas, T. Trovão, Renato T. Bellini, C. Carvalho, R. Allil, M. Werneck
This work presents a development of an optical monitoring system based on fiber Bragg grating (FBG) for monitoring the state position and temperature of substations high voltage disconnector switches (DS). Since the sensor is made purely of optical and mechanical components, it can be installed at high voltage environments. The sensor is developed to be installed in the contact base of the DS. The transducer is based on a cantilever beam, in which a pair of FBGs is bonded to its opposing sides and a movable mechanism that deflects it. During the closing state, the movable part of DS makes contact with the base and pushes movable mechanism of the sensor, deflecting the beam. Furthermore, FBGs are intrinsically temperature sensitive, measurement of the mechanical-electric contact temperature can be estimated by the wavelength shifts. A software developed in LabVIEW was used for the acquisition and processing of the data coming from the pair do FBGs. The proposed sensor was tested in a laboratory apparatus and the obtained results showed that the developed system is capable to identify three operating states of the DS: open, completely closed and partially closed, states.
{"title":"Disconnect Switch Position Sensor Based on FBG","authors":"R. Mok, Pedro Silveira, A. Dante, J. Vargas, T. Trovão, Renato T. Bellini, C. Carvalho, R. Allil, M. Werneck","doi":"10.1109/SENSORS43011.2019.8956678","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956678","url":null,"abstract":"This work presents a development of an optical monitoring system based on fiber Bragg grating (FBG) for monitoring the state position and temperature of substations high voltage disconnector switches (DS). Since the sensor is made purely of optical and mechanical components, it can be installed at high voltage environments. The sensor is developed to be installed in the contact base of the DS. The transducer is based on a cantilever beam, in which a pair of FBGs is bonded to its opposing sides and a movable mechanism that deflects it. During the closing state, the movable part of DS makes contact with the base and pushes movable mechanism of the sensor, deflecting the beam. Furthermore, FBGs are intrinsically temperature sensitive, measurement of the mechanical-electric contact temperature can be estimated by the wavelength shifts. A software developed in LabVIEW was used for the acquisition and processing of the data coming from the pair do FBGs. The proposed sensor was tested in a laboratory apparatus and the obtained results showed that the developed system is capable to identify three operating states of the DS: open, completely closed and partially closed, states.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72723267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956642
A. Ganesan, A. Seshia, J. Gorman
Over the past two decades, MEMS resonators have received considerable attention for physical, chemical and biological sensing applications. Typically, the operation of MEMS resonant sensors relies on the tracking of a resonance frequency using a feedback oscillator. The sensitivity of these sensors is limited by physical parametric variations, as in the Young’s modulus, and noise in the oscillator circuit, such that improvement in the sensitivity can require significant effort in the design, fabrication, ovenization, and control of the resonator. In this paper, we experimentally demonstrate an alternative sensing approach based on a newly documented physical phenomenon, ‘phononic frequency combs’, where the sensitivity can be actively tuned by the drive conditions. In addition, the spectral response of frequency combs enables an ‘N+1’ fold enhancement in the sensitivity, with ‘2N+1’ being the number of spectral lines associated with a frequency comb.
{"title":"Phononic Frequency Combs For Engineering MEMS/NEMS Devices With Tunable Sensitivity","authors":"A. Ganesan, A. Seshia, J. Gorman","doi":"10.1109/SENSORS43011.2019.8956642","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956642","url":null,"abstract":"Over the past two decades, MEMS resonators have received considerable attention for physical, chemical and biological sensing applications. Typically, the operation of MEMS resonant sensors relies on the tracking of a resonance frequency using a feedback oscillator. The sensitivity of these sensors is limited by physical parametric variations, as in the Young’s modulus, and noise in the oscillator circuit, such that improvement in the sensitivity can require significant effort in the design, fabrication, ovenization, and control of the resonator. In this paper, we experimentally demonstrate an alternative sensing approach based on a newly documented physical phenomenon, ‘phononic frequency combs’, where the sensitivity can be actively tuned by the drive conditions. In addition, the spectral response of frequency combs enables an ‘N+1’ fold enhancement in the sensitivity, with ‘2N+1’ being the number of spectral lines associated with a frequency comb.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74406584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956711
Zhifei Han, F. Xue, Junqing Yang, Jun Hu, Jinliang He
High-sensitivity and miniaturized measurement of electric fields is important for applications in power grid such as lightning waveform capturing and electrical equipment monitoring. In addition, the demand of wide-area information measurement in smart grid also necessitates the development of miniaturized and noncontact sensors. So far, there have already been a variety of electric-field sensing devices. However, these approaches meet the challenges of large size and low sensitivity. To solve the problem, this paper proposed a new electric-field sensor based on piezoelectric effect. The piezoelectric effect enables the conversion of electric fields into piezoelectric material deformations and then the air-gap capacitances in the device. The results indicate that the electric-field micro sensor can reach a high sensitivity of 30 V/m. The side length of the sensor chip can be as small as a few millimeters. Owing to the feasibility in mass production of the proposed sensor, it can potentially be extended to the industrial applications in power grid.
{"title":"Micro Piezoelectric-capacitive Sensors for Highsensitivity Measurement of Space Electric Fields","authors":"Zhifei Han, F. Xue, Junqing Yang, Jun Hu, Jinliang He","doi":"10.1109/SENSORS43011.2019.8956711","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956711","url":null,"abstract":"High-sensitivity and miniaturized measurement of electric fields is important for applications in power grid such as lightning waveform capturing and electrical equipment monitoring. In addition, the demand of wide-area information measurement in smart grid also necessitates the development of miniaturized and noncontact sensors. So far, there have already been a variety of electric-field sensing devices. However, these approaches meet the challenges of large size and low sensitivity. To solve the problem, this paper proposed a new electric-field sensor based on piezoelectric effect. The piezoelectric effect enables the conversion of electric fields into piezoelectric material deformations and then the air-gap capacitances in the device. The results indicate that the electric-field micro sensor can reach a high sensitivity of 30 V/m. The side length of the sensor chip can be as small as a few millimeters. Owing to the feasibility in mass production of the proposed sensor, it can potentially be extended to the industrial applications in power grid.","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78804100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/SENSORS43011.2019.8956702
Anery Patel, Maitreya Patel, Tushar Gadhiya, A. Roy
PolSAR image captured at different frequency bands contains varied information of the same target object. It has been reported that multi-frequency PolSAR data incurs high acquisition costs and computational requirements. In this paper, we put forward a novel concept of PolSAR band-to-band image translation to synthesize multi-frequency PolSAR images from a single frequency PolSAR image. Our proposed method uses PolSAR images captured at a particular frequency to generate its representation in different frequency bands based on image representation and target understanding. We leverage a deep neural network, particularly conditional adversarial network to perform the task. Our proposed framework shows promising results on AIRSAR dataset both qualitatively in terms of visual similarity and quantitatively in terms of root mean square error(RMSE).
{"title":"PolSAR Band-to-Band Image Translation Using Conditional Adversarial Networks","authors":"Anery Patel, Maitreya Patel, Tushar Gadhiya, A. Roy","doi":"10.1109/SENSORS43011.2019.8956702","DOIUrl":"https://doi.org/10.1109/SENSORS43011.2019.8956702","url":null,"abstract":"PolSAR image captured at different frequency bands contains varied information of the same target object. It has been reported that multi-frequency PolSAR data incurs high acquisition costs and computational requirements. In this paper, we put forward a novel concept of PolSAR band-to-band image translation to synthesize multi-frequency PolSAR images from a single frequency PolSAR image. Our proposed method uses PolSAR images captured at a particular frequency to generate its representation in different frequency bands based on image representation and target understanding. We leverage a deep neural network, particularly conditional adversarial network to perform the task. Our proposed framework shows promising results on AIRSAR dataset both qualitatively in terms of visual similarity and quantitatively in terms of root mean square error(RMSE).","PeriodicalId":6710,"journal":{"name":"2019 IEEE SENSORS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77724847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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