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ORCIDSathishkumar Samiappan
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2020 – today
- 2024
[j12]Sreevidya Padma
, J. Aravinth, Sathishkumar Samiappan:
Intermediate Layer Attention Mechanism for Multimodal Fusion in Personality and Affect Computing. IEEE Access 12: 112776-112793 (2024)- [j11]Sathishkumar Samiappan, B. Santhana Krishnan, Damion Dehart, Landon R. Jones, Jared A. Elmore, Kristine O. Evans, Raymond B. Iglay:
Aerial Wildlife Image Repository for animal monitoring with drones in the age of artificial intelligence. Database J. Biol. Databases Curation 2024 (2024) - [j10]J. Aravinth, Raju Anand, Sathishkumar Samiappan:
Multilinear compressive learning and reconstruction of hyperspectral data with U-Net architecture for enhanced spectral imaging. Digit. Signal Process. 155: 104740 (2024) - [j9]Cary Daniel McCraine, Sathishkumar Samiappan, Leon Kohler, Timo Sullivan, David J. Will:
Automated Hyperspectral Feature Selection and Classification of Wildlife Using Uncrewed Aerial Vehicles. Remote. Sens. 16(2): 406 (2024) - [c17]Rohini Maram, Sathishkumar Samiappan, Seung-Chul Yoon:
Detection and Classification of Plastic Contaminants on Chicken Meat using Color and Hyperspectral Imaging. IGARSS 2024: 9396-9399 - 2023
- [j8]A. Baskar, T. Gireesh Kumar, Sathishkumar Samiappan:
A vision system to assist visually challenged people for face recognition using multi-task cascaded convolutional neural network (MTCNN) and local binary pattern (LBP). J. Ambient Intell. Humaniz. Comput. 14(4): 4329-4341 (2023) - 2022
- [j7]Sathishkumar Samiappan, Andrew Shamaskin, Jiangdong Liu, Yong Liang, Jennifer Roberts, Amanda L. Sesser, Shannon M. Westlake, Anna Linhoss, Kristine O. Evans, John Tirpak, Todd E. Hopkins, Steve Ashby, L. Wes Burger:
Evidence-based land conservation framework using multi-criteria acceptability analysis: A geospatial tool for strategic land conservation in the Gulf coast of the United States. Environ. Model. Softw. 156: 105493 (2022) - [j6]Raju Anand, Sathishkumar Samiappan, Shanmugham Veni, Ethan Worch, Meilun Zhou:
Airborne Hyperspectral Imagery for Band Selection Using Moth-Flame Metaheuristic Optimization. J. Imaging 8(5): 126 (2022) - [j5]Purushothaman Ramamoorthy, Sathishkumar Samiappan, Martin J. Wubben, John P. Brooks, Amrit Shrestha, Rajendra Mohan Panda, K. Raja Reddy, Raju Bheemanahalli:
Hyperspectral Reflectance and Machine Learning Approaches for the Detection of Drought and Root-Knot Nematode Infestation in Cotton. Remote. Sens. 14(16): 4021 (2022) - 2021
- [j4]Joby M. Prince Czarnecki, Sathishkumar Samiappan, Meilun Zhou, Cary Daniel McCraine, Louis Wasson:
Real-Time Automated Classification of Sky Conditions Using Deep Learning and Edge Computing. Remote. Sens. 13(19): 3859 (2021) - [j3]Meilun Zhou, Jared A. Elmore, Sathishkumar Samiappan, Kristine O. Evans, Morgan B. Pfeiffer, Bradley F. Blackwell, Raymond B. Iglay:
Improving Animal Monitoring Using Small Unmanned Aircraft Systems (sUAS) and Deep Learning Networks. Sensors 21(17): 5697 (2021) - [c16]Sathishkumar Samiappan, Raju Bheemanahalli, Meilun Zhou, John P. Brooks, Martin J. Wubben:
Early Detection of Root-Knot Nematode (Meloidogyne Incognita) Infestation in Cotton Using Hyperspectral Data. IGARSS 2021: 5849-5852 - [i1]Md Aminul Haque Palash, M. D. Abdullah Al Nasim, Sourav Saha, Faria Afrin, Raisa Mallik, Sathishkumar Samiappan:
Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network. CoRR abs/2110.12442 (2021) - 2020
- [j2]Andrew Shamaskin, Sathishkumar Samiappan, Jiangdong Liu, Jennifer Roberts, Anna Linhoss, Kristine O. Evans:
Multi-Attribute Ecological and Socioeconomic Geodatabase for the Gulf of Mexico Coastal Region of the United States. Data 5(1): 3 (2020) - [c15]Meilun Zhou, Sathishkumar Samiappan, Ethan Worch, John E. Ball:
Hyperspectral Image Classification Using Fisher's Linear Discriminant Analysis Feature Reduction with Gabor Filtering and CNN. IGARSS 2020: 493-496 - [c14]Ethan Worch, Sathishkumar Samiappan, Meilun Zhou, John E. Ball:
Hyperspectral Band Selection Using Moth-Flame Metaheuristic Optimization. IGARSS 2020: 1271-1274 - [c13]Sathishkumar Samiappan, Andrew Shamaskin, Jiangdong Liu, Anna Linhoss, Kristine O. Evans:
Strategic Conservation of Gulf Coast Landscapes Using Multi-Criteria Decision Analysis and Open Source Remote Sensing and GIS Data. IGARSS 2020: 6662-6665
2010 – 2019
- 2019
- [c12]Shrutika S. Sawant, Prabukumar Manoharan, Sathishkumar Samiappan:
A Band Selection Method For Hyperspectral Image Classification Based On Cuckoo Search Algorithm With Correlation Based Initialization. WHISPERS 2019: 1-4 - 2018
- [c11]Sathishkumar Samiappan, Luan Casagrande, Gustavo Mello Machado, Gray Turnage, Lee Hathcock, Robert J. Moorhead, John E. Ball:
Texture Classification of Very High Resolution UAS Imagery Using a Graphics Processing Unit. IGARSS 2018: 6476-6479 - 2017
- [c10]Sathishkumar Samiappan, Gray Turnage, Lee Hathcock, Haibo Yao, Russell Kincaid, Robert J. Moorhead II, Steve Ashby:
Classifying common wetland plants using hyperspectral data to identify optimal spectral bands for species mapping using a small unmanned aerial systems - A case study. IGARSS 2017: 5924-5927 - [c9]Luan Casagrande, Gustavo Mello Machado, Sathishkumar Samiappan, Gray Turnage, Lee Hathcock, Robert J. Moorhead:
Probabilistic Neural Network and Wavelet Transform for Mapping of Phragmites Australis Using Low Altitude Remote Sensing. SIBGRAPI 2017: 269-276 - 2016
- [c8]Sathishkumar Samiappan, Lalitha Dabbiru, Robert J. Moorhead:
Fusion of hyperspectral and LiDAR data using random feature selection and morphological attribute profiles. WHISPERS 2016: 1-4 - 2015
- [c7]Sathishkumar Samiappan, Robert J. Moorhead:
Semi-supervised co-training and active learning framework for hyperspectral image classification. IGARSS 2015: 401-404 - [c6]Lalitha Dabbiru, Sathishkumar Samiappan, Rodrigo A. A. Nóbrega, James V. Aanstoos, Nicolas H. Younan, Robert J. Moorhead:
Fusion of synthetic aperture radar and hyperspectral imagery to detect impacts of oil spill in Gulf of Mexico. IGARSS 2015: 1901-1904 - 2013
- [j1]Sathishkumar Samiappan, Saurabh Prasad, Lori M. Bruce:
Non-Uniform Random Feature Selection and Kernel Density Scoring With SVM Based Ensemble Classification for Hyperspectral Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-3): 792-800 (2013) - [c5]Sathishkumar Samiappan, Lori M. Bruce, Haibo Yao, Zuzana Hruska, Robert L. Brown, Deepak Bhatnagar, Thomas E. Cleveland:
Support vector machines classification of fluorescence hyperspectral image for detection of aflatoxin in corn kernels. WHISPERS 2013: 1-4 - 2011
- [c4]Sathishkumar Samiappan, Saurabh Prasad, Lori M. Bruce, Eric A. Hansen:
Branch and bound based feature elimination for support vector machine based classification of hyperspectral images. IGARSS 2011: 2523-2526 - [c3]Sathishkumar Samiappan, Saurabh Prasad, Lori M. Bruce:
Automated hyperspectral imagery analysis via support vector machines based multi-classifier system with non-uniform random feature selection. IGARSS 2011: 3915-3918 - 2010
- [c2]Saurabh Prasad, Hemanth Kalluri, Lori M. Bruce, Sathishkumar Samiappan:
Data dependent adaptation for improved classification of hyperspectral imagery. IGARSS 2010: 68-71 - [c1]Sathishkumar Samiappan, Saurabh Prasad, Lori M. Bruce, Wilfredo Robles:
NASA's upcoming HyspIRI mission - precision vegetation mapping with limited ground truth. IGARSS 2010: 3744-3747
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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