Sangram Ganguly
Orcid: 0000-0002-5916-1410
According to our database1,
Sangram Ganguly
authored at least 34 papers
between 2007 and 2020.
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Bibliography
2020
Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS.
Remote. Sens., 2020
2019
Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach.
Remote. Sens., 2019
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification.
CoRR, 2019
2018
An Interplay between Photons, Canopy Structure, and Recollision Probability: A Review of the Spectral Invariants Theory of 3D Canopy Radiative Transfer Processes.
Remote. Sens., 2018
Neural Networks, 2018
Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2017
Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing.
Remote. Sens., 2017
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets.
Neural Process. Lett., 2017
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
2016
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
2015
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture.
IEEE Trans. Geosci. Remote. Sens., 2015
MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models.
Proceedings of the VISAPP 2015, 2015
Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the 39th Annual Computer Software and Applications Conference, 2015
2013
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., 2013
Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA.
Remote. Sens., 2013
Remote. Sens., 2013
Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model.
Remote. Sens., 2013
2012
Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data.
Remote. Sens., 2012
2010
A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
2007
Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Physically based methodology for generating LAI and FPAR earth system data records from AVHRR and MODIS.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007