Sangram Ganguly

According to our database1, Sangram Ganguly authored at least 32 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach.
Remote Sensing, 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 Sensing, 2018

Deep neural networks for texture classification - A theoretical analysis.
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 Sensing, 2017

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets.
Neural Processing Letters, 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
Semantic Forward Propagation for Symbolic Regression.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A theoretical analysis of Deep Neural Networks for texture classification.
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. Geoscience and Remote Sensing, 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

Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

DeepSat: a learning framework for satellite imagery.
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

An Agile Framework for Real-Time Motion Tracking.
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 Sensing, 2013

Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA.
Remote Sensing, 2013

Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production.
Remote Sensing, 2013

Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model.
Remote Sensing, 2013

2012
Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data.
Remote Sensing, 2012

2010
Decadal Variations in NDVI and Food Production in India.
Remote Sensing, 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

Terrestrial vegetation phenology from MODIS and MERIS.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Satellite Monitoring of Disturbances in Arctic Ecosystems.
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


  Loading...