Vinayaraj Poliyapram

According to our database, Vinayaraj Poliyapram authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

SATPOI-Net: Deep Learning Model to Predict the Point of Interest (POI) from Satellite Imagery.

Poliyapram Vinayaraj, Alameen Najjar, Kyle Mede

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

A Multi-Task Deep Learning Model for Population and LULC (M2PL-NET) Prediction with Scaling to a People Flow Grid.

Poliyapram Vinayaraj, Jeremiah Luke Anderson, Mayank Bansal

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020

Transfer Learning With CNNs for Segmentation of PALSAR-2 Power Decomposition Components.

Poliyapram Vinayaraj, Ryu Sugimoto, Ryosuke Nakamura, Yoshio Yamaguchi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data.

Subir Paul, Vinayaraj Poliyapram, Nevrez Imamoglu, Kuniaki Uto, Ryosuke Nakamura, Dasika Nagesh Kumar

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Densification of Airborne Lidar Point Cloud with Fused Encoder-Decoder Networks.

Weimin Wang, Poliyapram Vinayaraj, Ryosuke Nakamura

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

A Point-Wise LiDAR and Image Multimodal Fusion Network (PMNet) for Aerial Point Cloud 3D Semantic Segmentation.

Vinayaraj Poliyapram, Weimin Wang, Ryosuke Nakamura

Remote. Sens., 2019

3D Semantic Segmentation of Large-Scale Point-Clouds in Urban Areas Using Deep Learning.

Chakri Lowphansirikul, Kvoung-Sook Kim, Poliyapram Vinayaraj, Suppawong Tuarob

Proceedings of the 11th International Conference on Knowledge and Smart Technology, 2019

Deep Learning Model for Water/Ice/Land Classification Using Large-Scale Medium Resolution Satellite Images.

Vinayaraj Poliyapram, Nevrez Imamoglu, Ryousuke Nakamura

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Investigation on Perceptron Learning for Water Region Estimation Using Large-Scale Multispectral Images.

Poliyapram Vinayaraj, Nevrez Imamoglu, Ryosuke Nakamura, Atsushi Oda

Sensors, 2018

Development of an Automatic Dynamic Global Water Mask Using Landsat-8 Images.

Vinayaraj Poliyapram, Yu Oishi, Ryosuke Nakamura

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration).

Haoyi Xiu, Poliyapram Vinayaraj, Kyoung-Sook Kim, Ryosuke Nakamura, Wanglin Yan

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017

Implementation of Algorithm for Satellite-Derived Bathymetry using Open Source GIS and Evaluation for Tsunami Simulation.

Vinayaraj Poliyapram, Venkatesh Raghavan, Markus Metz, Luca Delucchi, Shinji Masumoto

ISPRS Int. J. Geo Inf., 2017