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Articles 1 - 11 of 11
Full-Text Articles in Remote Sensing
Near Real-Time Monitoring Reveals Extensive Recent Forest Disturbance In Ghana’S Protected Areas, Luofan Dong, Xiaojing Tang, Foster Mensah, Bashara Ahmed Abubakari, Kelsee H. Bratley, Pontus Olofsson, Curtis E. Woodcock
Near Real-Time Monitoring Reveals Extensive Recent Forest Disturbance In Ghana’S Protected Areas, Luofan Dong, Xiaojing Tang, Foster Mensah, Bashara Ahmed Abubakari, Kelsee H. Bratley, Pontus Olofsson, Curtis E. Woodcock
Faculty Scholarship
The Protected Areas (PAs) in Ghana play a critical role in preserving the abundant biodiversity of the West Africa Green Belt. But recent changes in policies and regulations have facilitated logging and mining activities, which have accelerated forest disturbances. While there is a consensus that PAs are undergoing destructive change, the extent, rate, and locations of forest disturbances are undocumented. In this study, we applied the fusion near real-time (FNRT) algorithm that utilizes Landsat, Sentinel-1, and Sentinel-2 data and sampling to monitor forests in the PAs of Ghana. The results reveal that 704.74 (±177.24) km2 of forest in the PAs …
A Review Of Emerging Sensor Technologies For Tank Inspection: A Focus On Lidar And Hyperspectral Imaging And Their Automation And Deployment, Sergio Pallas Enguita, Chung-Hao Chen, Samuel Kovacic
A Review Of Emerging Sensor Technologies For Tank Inspection: A Focus On Lidar And Hyperspectral Imaging And Their Automation And Deployment, Sergio Pallas Enguita, Chung-Hao Chen, Samuel Kovacic
Electrical & Computer Engineering Faculty Publications
This paper reviews various sensor technologies for tank inspection, focusing on Light Detection and Ranging (LiDAR) and Hyperspectral Imaging (HSI) as advanced solutions for corrosion detection. These technologies are evaluated alongside traditional methods such as ultrasonic, electromagnetic, and thermographic inspections. This review highlights their potential to enhance inspection accuracy, reduce the limitations of manual inspection, and support integrated data analysis for comprehensive asset management. Additionally, this paper proposes a pathway for automating these techniques to streamline inspection processes and improve implementation in practical applications.
Composite Style Pixel And Point Convolution-Based Deep Fusion Neural Network Architecture For The Semantic Segmentation Of Hyperspectral And Lidar Data, Kevin T. Decker, Brett J. Borghetti
Composite Style Pixel And Point Convolution-Based Deep Fusion Neural Network Architecture For The Semantic Segmentation Of Hyperspectral And Lidar Data, Kevin T. Decker, Brett J. Borghetti
Faculty Publications
Multimodal hyperspectral and lidar data sets provide complementary spectral and structural data. Joint processing and exploitation to produce semantically labeled pixel maps through semantic segmentation has proven useful for a variety of decision tasks. In this work, we identify two areas of improvement over previous approaches and present a proof of concept network implementing these improvements. First, rather than using a late fusion style architecture as in prior work, our approach implements a composite style fusion architecture to allow for the simultaneous generation of multimodal features and the learning of fused features during encoding. Second, our approach processes the higher …
Deep Learning For Land Cover Classification Using Only A Few Bands, Chiman Kwan, Bulent Ayhan, Bence Budavari, Yan Lu, Daniel Perez, Jiang Li, Sergio Bernabe, Antonio Plaza
Deep Learning For Land Cover Classification Using Only A Few Bands, Chiman Kwan, Bulent Ayhan, Bence Budavari, Yan Lu, Daniel Perez, Jiang Li, Sergio Bernabe, Antonio Plaza
Electrical & Computer Engineering Faculty Publications
There is an emerging interest in using hyperspectral data for land cover classification. The motivation behind using hyperspectral data is the notion that increasing the number of narrowband spectral channels would provide richer spectral information and thus help improve the land cover classification performance. Although hyperspectral data with hundreds of channels provide detailed spectral signatures, the curse of dimensionality might lead to degradation in the land cover classification performance. Moreover, in some practical applications, hyperspectral data may not be available due to cost, data storage, or bandwidth issues, and RGB and near infrared (NIR) could be the only image bands …
Multi-Sensor Data Fusion Between Radio Tomographic Imaging And Noise Radar, Christopher Vergara
Multi-Sensor Data Fusion Between Radio Tomographic Imaging And Noise Radar, Christopher Vergara
Theses and Dissertations
The lack of situational awareness within an operational environment is a problem that carries high risk and expensive consequences. Radio Tomographic Imaging (RTI) and noise radar are two proven technologies capable of through-wall imaging and foliage penetration. The intent of this thesis is to provide a proof of concept for the fusion of data from RTI and noise radar. The output of this thesis will consist of a performance comparison between the two technologies followed by the derivation of a fusion technique to produce a single image. Proposals have been made for the integration of multiple-input multiple-output (MIMO) radar with …
Platforms For Hyperspectral Imaging, In-Situ Optical And Acoustical Imaging In Urbanized Regions, Charles R. Bostater, Taylor Scott Oney
Platforms For Hyperspectral Imaging, In-Situ Optical And Acoustical Imaging In Urbanized Regions, Charles R. Bostater, Taylor Scott Oney
Ocean Engineering and Marine Sciences Faculty Publications
Hyperspectral measurements of the water surface of urban coastal waters are presented. Oblique bidirectional reflectance factor imagery was acquired made in a turbid coastal sub estuary of the Indian River Lagoon, Florida and along coastal surf zone waters of the nearby Atlantic Ocean. Imagery was also collected using a pushbroom hyperspectral imager mounted on a fixed platform with a calibrated circular mechatronic rotation stage. Oblique imagery of the shoreline and subsurface features clearly shows subsurface bottom features and rip current features within the surf zone water column. In-situ hyperspectral optical signatures were acquired from a vessel as a function of …
An Approach To Optimal Hyperspectral And Multispectral Signature And Image Fusion For Detecting Hidden Targets On Shorelines, Charles R. Bostater
An Approach To Optimal Hyperspectral And Multispectral Signature And Image Fusion For Detecting Hidden Targets On Shorelines, Charles R. Bostater
Ocean Engineering and Marine Sciences Faculty Publications
Hyperspectral and multispectral imagery of shorelines collected from airborne and shipborne platforms are used following pushbroom imagery corrections using inertial motion motions units and augmented global positioning data and Kalman filtering. Corrected radiance or reflectance images are then used to optimize synthetic high spatial resolution spectral signatures resulting from an optimized data fusion process. The process demonstrated utilizes littoral zone features from imagery acquired in the Gulf of Mexico region. Shoreline imagery along the Banana River, Florida, is presented that utilizes a technique that makes use of numerically embedded targets in both higher spatial resolution multispectral images and lower spatial …
Airborne Multisensor Remote Sensing Systems For Subsurface Feature Detection In Littoral Zones, Charles R. Bostater
Airborne Multisensor Remote Sensing Systems For Subsurface Feature Detection In Littoral Zones, Charles R. Bostater
Ocean Engineering and Marine Sciences Faculty Publications
This paper describes low altitude mobile imaging of near coastal waters in the Northern Gulf of Mexico. A suite of mobile multispectral and hyperspectral sensors were flown between ∼1,000m to ∼3000m altitudes in order detect subsurface features in nearby wetlands and littoral zone areas following the Deepwater Horizon oil spill. In this paper techniques used to develop, integrate and calibrate the airborne sensors are described. The sensors include a multispectral digital frame camera system, a traditional photogrammetric camera, and a small custom hyperspectral imaging system with custom software. Ancillary sensors include include multiple differential GPS and inertial motion unit (IMU) …
Resolution Enhancement Optimizations For Hyperspectral And Multispectral Synthetic Image Fusion, Charles R. Bostater
Resolution Enhancement Optimizations For Hyperspectral And Multispectral Synthetic Image Fusion, Charles R. Bostater
Ocean Engineering and Marine Sciences Faculty Publications
Many sensor systems are available for sensing the earth surface from satellites as well as airborne and mobile platforms. Thus, fusing data from multiple sensors is becoming a common theme in earth remote sensing. A major goal of remote sensing image fusion is resolution enhancement. In this paper, optimization techniques are presented and discussed in order to help make an image fusion process a practical method for not only spectral signature based image analysis but also for algorithm development in remote sensing of water. The technique described and explored in this paper includes the identification of feature areas, stratified random …
Remote Sensing Of Shorelines Using Data Fusion Of Hyperspectral And Multispectral Imagery Acquired From Mobile And Fixed Platforms, Charles R. Bostater, Heather Frystacky
Remote Sensing Of Shorelines Using Data Fusion Of Hyperspectral And Multispectral Imagery Acquired From Mobile And Fixed Platforms, Charles R. Bostater, Heather Frystacky
Ocean Engineering and Marine Sciences Faculty Publications
An optimized data fusion methodology is presented and makes use of airborne and vessel mounted hyperspectral and multispectral imagery acquired at littoral zones in Florida and the northern Gulf of Mexico. The results demonstrate the use of hyperspectral-multispectral data fusion anomaly detection along shorelines and in surface and subsurface waters. Hyperspectral imagery utilized in the data fusion analysis was collected using a 64-1024 channel, 1376 pixel swath width; temperature stabilized sensing system; an integrated inertial motion unit; and differential GPS. The imaging system is calibrated using dual 18 inch calibration spheres, spectral line sources, and custom line targets. Simultaneously collected …
Airborne Imaging Sensors For Environmental Monitoring & Surveillance In Support Of Oil Spills & Recovery Efforts, Charles R. Bostater, James W. Jones, Heather Frystacky, Gaelle Coppin, Florian Levaux, Xavier Neyt
Airborne Imaging Sensors For Environmental Monitoring & Surveillance In Support Of Oil Spills & Recovery Efforts, Charles R. Bostater, James W. Jones, Heather Frystacky, Gaelle Coppin, Florian Levaux, Xavier Neyt
Ocean Engineering and Marine Sciences Faculty Publications
Collection of pushbroom sensor imagery from a mobile platform requires corrections using inertial measurement units (IMU's) and DGPS in order to create useable imagery for environmental monitoring and surveillance of shorelines in freshwater systems, coastal littoral zones and harbor areas. This paper describes a suite of imaging systems used during collection of hyperspectral imagery in northern Florida panhandle and Gulf of Mexico airborne missions to detect weathered oil in coastal littoral zones. Underlying concepts of pushbroom imagery, the needed corrections for directional changes using DGPS and corrections for platform yaw, pitch, and roll using IMU data is described as well …