Search Results - "SIVANPILLAI, Ramesh"

Rapid flood inundation mapping by differencing water indices from pre- and post-flood Landsat images by SIVANPILLAI, Ramesh, JACOBS, Kevin M., MATTILIO, Chloe M., PISKORSKI, Ela V.

“…Following flooding disasters, satellite images provide valuable information required for generating flood inundation maps. Multispectral or optical imagery can…”
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Learning and Adaptation from Minimum Samples with Heterogeneous Quality: An investigation of image segmentation networks on natural dataset by Sajith Variyar, V.V., Sowmya, V, Sivanpillai, Ramesh, Brown, Gregory K

“…Training deep learning-based image segmentation networks require large number of samples of adequate quality. However, obtaining large number of samples is not…”
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A multi-branch dual attention segmentation network for epiphyte drone images by Sajith Variyar, V.V., Sowmya, V., Sivanpillai, Ramesh, Brown, Gregory K.

“…Acquiring images of epiphytes growing on trees using Unmanned Aerial Vehicles (UAVs) enables botanists to efficiently collect data on these important plant…”
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Significance of AI-assisted techniques for epiphyte plant monitoring and identification from drone images by V.V., Sajith Variyar, V., Sowmya, Sivanpillai, Ramesh, Brown, Gregory K.

“…Monitoring forest canopies is vital for ecological studies, particularly for assessing epiphytes in rain forest ecosystems. Traditional methods for studying…”
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Relationship between sagebrush species and structural characteristics and L andsat T hematic M apper data by Sivanpillai, Ramesh, Ewers, Brent E.

“…Abstract Questions Do the spectral patterns recorded by L andsat T hematic M apper ( TM ) for various sagebrush species differ from each other? Could ancillary…”
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Improvements in mapping water bodies using ASTER data by Sivanpillai, Ramesh, Miller, Scott N.

“…Coalbed Natural Gas extraction usually results in the production of excess, or product, water, necessitating a strategy for disposal and minimizing landscape…”
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A novel synergistic fibroblast optimization based Kalman estimation model for forecasting time-series data by Dhivyaprabha, T. T., Subashini, P., Krishnaveni, M., Santhi, N., Sivanpillai, Ramesh, Jayashree, G.

“…Evolution of a new computational model for estimating the time-varying data is a highly empirical task in scientific computing theory. Using various…”
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EXTRACTING WATER BODIES IN RGB IMAGES USING DEEPLABV3+ ALGORITHM by Harika, A., Sivanpillai, R., Sajith Variyar, V. V., Sowmya, V.

“…Deep Learning algorithms are increasingly used for mapping waterbodies in remotely sensed images. DeepLabV3+ is an image segmentation method that includes ASPP…”
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Relating leaf spectral reflectance to its color: an inquiry-based activity to enhance understanding of electromagnetic radiation by Sivanpillai, Ramesh, Whitman, Ronald D.

“…Understanding the concept of electromagnetic radiation (EMR) and its interaction with matter (absorption, reflection, and transmission) can be difficult for…”
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Glacier Variability in the Wind River Range, Wyoming by Thompson, Derrick, Tootle, Glenn, Kerr, Greg, Sivanpillai, Ramesh, Pochop, Larry

“…Variability in surface area for 44 glaciers in Wyoming’s Wind River Range was estimated through a comparison of historic aerial photography from 1966 to 2006…”
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Glacier Variability (1967-2006) in the Teton Range, Wyoming, United States by Edmunds, Jake, Tootle, Glenn, Kerr, Greg, Sivanpillai, Ramesh, Pochop, Larry

“…Glacier area and volume changes were quantified through the use of historical aerial photographs in Wyoming's Teton Range. Glacier area changes in the Teton…”
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Accessing satellite imagery for disaster response through the International Charter: Lessons learned from the 2011 US Midwestern Floods by Sivanpillai, Ramesh, Jones, Brenda K., Lamb, Rynn M.

“…The International Charter ‘Space and Major Disasters’ (“Charter”) is a collaboration among Earth observation satellite owners and operators to provide remotely…”
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MULTIPLE OIL PAD DETECTION USING DEEP LEARNING by Giri, A., Sajith Variyar, V. V., Sowmya, V., Sivanpillai, R., Soman, K. P.

“…Deep learning (DL) algorithms are widely used in object detection such as roads, vehicles, buildings, etc., in aerial images. However, the object detection…”
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Glacier Impacts on Summer Streamflow in the Wind River Range, Wyoming by Bell, Jeb, Tootle, Glenn, Pochop, Larry, Kerr, Greg, Sivanpillai, Ramesh

“…AbstractThe Wind River Range (WRR) of Wyoming is host to approximately 63 glaciers. Extensive research has been conducted using remote imagery to estimate the…”
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INFLUENCE OF ADDITIONAL SPECTRAL BANDS FOR EPIPHYTE SEGMENTATION ON DRU-NET by Menon, A. K., Sajith Variyar, V. V., Sivanpillai, R., Sowmya, V., Brown, G. K., Soman, K. P.

“…Dense Residual U-Net (DRU-Net) is a neural network used for image segmentation. It is based on the U-Net architecture and isa combination of modified ResNet as…”
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OPTIMIZING LOW-COST UAV AERIAL IMAGE MOSAICING FOR CROP GROWTH MONITORING by Bupathy, P., Sivanpillai, R., Sajithvariyar, V. V., Sowmya, V.

“…High spatial resolution images acquired with drones can provide useful information to farmers for devising suitable management practices and increase crop…”
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COMPARISON OF IMAGE ENHANCEMENT TECHNIQUES FOR RAPID PROCESSING OF POST FLOOD IMAGES by Harichandana, M., Sowmya, V., Sajithvariyar, V. V., Sivanpillai, R.

“…Satellite images are widely used for assessing the areal extent of flooded areas. However, presence of clouds and shadow limit the utility of these images…”
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Relationship between sagebrush species and structural characteristics and Landsat Thematic Mapper data by Sivanpillai, Ramesh, Ewers, Brent E.

“…Questions: Do the spectral patterns recorded by Landsat Thematic Mapper (TM) for various sagebrush species differ from each other? Could ancillary data derived…”
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Mapping Locust Habitats in the Amudarya River Delta, Uzbekistan with Multi-Temporal MODIS Imagery by Sivanpillai, Ramesh, Latchininsky, Alexandre V

“…Reed beds of Phragmites australis in the River Amudarya delta near the Aral Sea constitute permanent breeding areas of the Asian Migratory locust, Locusta…”
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Glacier Variability (1967‐2006) in the Teton Range, Wyoming, United States 1 by Edmunds, Jake, Tootle, Glenn, Kerr, Greg, Sivanpillai, Ramesh, Pochop, Larry

“…Edmunds, Jake, Glenn Tootle, Greg Kerr, Ramesh Sivanpillai, and Larry Pochop, 2011. Glacier Variability (1967‐2006) in the Teton Range, Wyoming, United States…”
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