Chandi Witharana
Orcid: 0000-0002-7587-535X
According to our database1,
Chandi Witharana
authored at least 15 papers
between 2016 and 2024.
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Bibliography
2024
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping.
Remote. Sens., March, 2024
Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning.
IEEE Access, 2024
2023
Can Plot-Level Photographs Accurately Estimate Tundra Vegetation Cover in Northern Alaska?
Remote. Sens., April, 2023
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features.
CoRR, 2023
2022
Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery.
Remote. Sens., 2022
Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery.
Remote. Sens., 2022
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022
2021
An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery.
Remote. Sens., 2021
Mapping Relict Charcoal Hearths in New England Using Deep Convolutional Neural Networks and LiDAR Data.
Remote. Sens., 2021
Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska.
Remote. Sens., 2021
2020
Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery.
J. Imaging, 2020
Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types.
J. Imaging, 2020
2018
Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images.
Sensors, 2018
Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery.
Remote. Sens., 2018
2016
An Object-Based Image Analysis Approach for Detecting Penguin Guano in very High Spatial Resolution Satellite Images.
Remote. Sens., 2016