Sangram Ganguly

40 papers A* 3A 2B 2C 3Misc 2Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2020 J jnl
Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS.
Remote. Sens.
Vesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani
2019 J jnl
DeepEmSat: Deep Emulation for Satellite Data Mining.
Frontiers Big Data
Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2019 J jnl
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification.
CoRR
Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
2019 J jnl
Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach.
Remote. Sens.
Dawn Emil Sebastian, Sangram Ganguly, Jagdish Krishnaswamy, Kate Duffy, Ramakrishna R. Nemani, Subimal Ghosh
2019 J jnl
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images.
CoRR
Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
2018 J jnl
An Interplay between Photons, Canopy Structure, and Recollision Probability: A Review of the Spectral Invariants Theory of 3D Canopy Radiative Transfer Processes.
Remote. Sens.
Weile Wang, Ramakrishna R. Nemani, Hirofumi Hashimoto, Sangram Ganguly, Dong Huang, Yuri Knyazikhin, Ranga B. Myneni, Govindasamy Bala
2018 J jnl
Deep neural networks for texture classification - A theoretical analysis.
Neural Networks
Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
2018 A* conf
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version.
IJCAI
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
2018 — conf
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images.
ICDM Workshops
Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
2018 A* conf
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning.
KDD
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2018 J jnl
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning.
CoRR
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2018 — conf
Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis.
PPSN (1)
Anuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard
2017 A* conf
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution.
KDD
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
2017 J jnl
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution.
CoRR
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
2017 J jnl
Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing.
Remote. Sens.
Uttam Kumar, Sangram Ganguly, Ramakrishna R. Nemani, S. Kumar Raja, Cristina Milesi, Ruchita Sinha, Andrew R. Michaelis, Petr Votava, Hirofumi Hashimoto, Shuang Li, Weile Wang, Subodh Kalia, Shreekant Gayaka
2017 J jnl
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets.
Neural Process. Lett.
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani
2016 J jnl
A Theoretical Analysis of Deep Neural Networks for Texture Classification.
CoRR
Saikat Basu, Manohar Karki, Robert DiBiano, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
2016 B conf
A theoretical analysis of Deep Neural Networks for texture classification.
IJCNN
Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka
2016 A conf
Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming.
GECCO
Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard
2016 A conf
Semantic Forward Propagation for Symbolic Regression.
PPSN
Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard
2015 J jnl
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture.
IEEE Trans. Geosci. Remote. Sens.
Saikat Basu, Sangram Ganguly, Ramakrishna R. Nemani, Supratik Mukhopadhyay, Gong Zhang, Cristina Milesi, Andrew R. Michaelis, Petr Votava, Ralph Dubayah, Laura Duncanson, Bruce D. Cook, Yifan Yu, Sassan Saatchi, Robert DiBiano, Manohar Karki, Edward Boyda, Uttam Kumar, Shuang Li
2015 — conf
An Agile Framework for Real-Time Motion Tracking.
COMPSAC Workshops
Saikat Basu, Robert DiBiano, Manohar Karki, Malcolm Stagg, Jerry Weltman, Supratik Mukhopadhyay, Sangram Ganguly
2015 J jnl
DeepSat - A Learning framework for Satellite Imagery.
CoRR
Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
2015 — conf
DeepSat: a learning framework for satellite imagery.
SIGSPATIAL/GIS
Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
2015 B conf
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets.
ESANN
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani
2015 J jnl
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets.
CoRR
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani
2015 — conf
MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models.
VISAPP (3)
Saikat Basu, Manohar Karki, Malcolm Stagg, Robert DiBiano, Sangram Ganguly, Supratik Mukhopadhyay
2015 Misc conf
Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data.
IRI
Uttam Kumar, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani
2015 Misc conf
Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study.
IRI
Uttam Kumar, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani
2013 J jnl
Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA.
Remote. Sens.
Yuli Shi, Sungho Choi, Xiliang Ni, Sangram Ganguly, Gong Zhang, Hieu V. Duong, Michael A. Lefsky, Marc Simard, Sassan S. Saatchi, Shihyan Lee, Wenge Ni-Meister, Shilong Piao, Chunxiang Cao, Ramakrishna R. Nemani, Ranga B. Myneni
2013 J jnl
Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model.
Remote. Sens.
Sungho Choi, Xiliang Ni, Yuli Shi, Sangram Ganguly, Gong Zhang, Hieu V. Duong, Michael A. Lefsky, Marc Simard, Sassan S. Saatchi, Shihyan Lee, Wenge Ni-Meister, Shilong Piao, Chunxiang Cao, Ramakrishna R. Nemani, Ranga B. Myneni
2013 J jnl
Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011.
Remote. Sens.
Zaichun Zhu, Jian Bi, Yaozhong Pan, Sangram Ganguly, Alessandro Anav, Liang Xu, Arindam Samanta, Shilong Piao, Ramakrishna R. Nemani, Ranga B. Myneni
2013 J jnl
Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production.
Remote. Sens.
Hirofumi Hashimoto, Weile Wang, Cristina Milesi, Jun Xiong, Sangram Ganguly, Zaichun Zhu, Ramakrishna R. Nemani
2012 J jnl
Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data.
Remote. Sens.
Hirofumi Hashimoto, Weile Wang, Cristina Milesi, Michael A. White, Sangram Ganguly, Minoru Gamo, Ryuichi Hirata, Ranga B. Myneni, Ramakrishna R. Nemani
2010 — conf
A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data.
WHISPERS
Sangram Ganguly, Ramakrishna R. Nemani, Yuri Knyazikhin, Weile Wang, Hirofumi Hashimoto, Petr Votava, Andrew R. Michaelis, Cristina Milesi, Jennifer L. Dungan, Forrest S. Melton, Ranga B. Myneni
2010 J jnl
Decadal Variations in NDVI and Food Production in India.
Remote. Sens.
Cristina Milesi, Arindam Samanta, Hirofumi Hashimoto, K. Krishna Kumar, Sangram Ganguly, Prasad S. Thenkabail, Ashok N. Srivastava, Ramakrishna R. Nemani, Ranga B. Myneni
2010 C conf
Terrestrial vegetation phenology from MODIS and MERIS.
IGARSS
Jeganathan Chockalingam, Sangram Ganguly, Jadu Dash, Mark A. Friedl, Peter M. Atkinson
2009 — conf
Satellite Monitoring of Disturbances in Arctic Ecosystems.
IGARSS (3)
Ana Prieto-Blanco, Mathias Disney, Philip Lewis, José Gómez-Dans, Sangram Ganguly
2007 C conf
Physically based methodology for generating LAI and FPAR earth system data records from AVHRR and MODIS.
IGARSS
Sangram Ganguly, Mitchell Schull, Arindam Samanta, Yuri Knyazikhin, Nikolay V. Shabanov, Ranga B. Myneni, Dong Huang
2007 C conf
Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data.
IGARSS
Mitchell Schull, Sangram Ganguly, Arindam Samanta, Julian Jenkins, Yuri Knyazikhin, Ranga B. Myneni, Dong Huang