Carl Salvaggio

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This paper describes a collaborative collection campaign to spectrally image and measure a well characterized scene for hyperspectral algorithm development and validation/verification of scene simulation models (DIRSIG). The RIT Megascene, located in the northeast corner of Monroe County near Rochester, New York, has been modeled and characterized under the(More)
The ability to detect and identify effluent gases is, and will continue to be, of great importance. This would not only aid in the regulation of pollutants but also in treaty enforcement and monitoring the production of weapons. Considering these applications, finding a way to remotely investigate a gaseous emission is highly desirable. This research(More)
Many targets that remote sensing scientists encounter when conducting their research experiments do not lend themselves to laboratory measurement of their surface optical properties. Removal of these targets from the field can change their biotic condition, disturb the surface composition, and change the moisture content of the sample. These parameters, as(More)
The development of highly portable field devices for measuring midwave and longwave infrared emissivity spectra has greatly enhanced the ability of scientists to develop and verify exploitation algorithms designed to operate in these spectral regions. These data, however, need to be collected properly in order to prove useful once the scientists return from(More)
The Operational Land Imager (OLI) is a new Landsat sensor being developed by the joint USGS-NASA Landsat Data Continuity Mission (LDCM) that exhibits the potential to be a state-of-the-art instrument for studying inland and coastal waters. With upgrades such as a new Coastal Aerosol band, 12 bit quantization, and improved signal-to-noise, OLI will be(More)
The purpose of this research is to show how common computer vision techniques can be implemented in such a way that it is possible to automate the process of analytical photogram-metry. This work develops a workflow that generates a sparse three-dimensional point cloud from a bundle of images using SIFT, RANSAC, and a sparse bundle adjustment along with(More)
Thermal infrared (TIR) imagery generated by midwave (3to 5-pm) and longwave (8to 14-pm) sensors is being increasingly used for a variety of remote sensing applications. Some of this interest is motivated by the temperature information encoded in these images, whereas other interest is driven by the need for high-resolution sensors with day and night(More)
The Digital Imaging and Remote Sensing Synthetic Image Generation (DIRSIG) model emphasizes quantitative prediction of the radiance reaching sensors with bandpass values between 0.28 and 20.0 jim. The model embodies a rigorous end-to-end speciral modeling of radiation propagation, absorption and scattering, target temperatures based on meteorological(More)
Comparison of the components and the overall fidelity of infrared synthetic image generation models with truth data and imagery is a crucial part of determining model validity and identifying areas in which improvements can be made. The Rochester Institute of Technology's Digital Imaging and Remote Sensing Image Generation Model, DIRSIG, was validated in(More)