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Jagannath Aryal
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2020 – today
- 2024
- [j45]Bipul Neupane
, Jagannath Aryal
CNNs for remote extraction of urban features: A survey-driven benchmarking. Expert Syst. Appl. 255: 124751 (2024) - [j44]Chiranjibi Sitaula
Recent advances in scene image representation and classification. Multim. Tools Appl. 83(3): 9251-9278 (2024) - [j43]Chiranjibi Sitaula
Enhanced multi-level features for very high resolution remote sensing scene classification. Neural Comput. Appl. 36(13): 7071-7083 (2024) - [j42]Chiranjibi Sitaula
A rotation-invariant horizontal vertical pooled module for remote sensing image representation. Neural Comput. Appl. 36(30): 18661-18673 (2024) - [j41]Aditya
Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation From MLS. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j40]Aditya
GreenSegNet: A Novel Deep Learning Architecture for Urban Vegetation Segmentation From MLS Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - [c18]Peiye Li, Tomas Poblete, Jagannath Aryal, Alberto Hornero, Pablo J. Zarco-Tejada:
Contribution of Solar-Induced-Fluorescence for Needle Nitrogen and Phosphorus Prediction with Airborne Hyperspectral Imagery. IGARSS 2024: 7893-7897 - [c17]Bipul Neupane, Jagannath Aryal, Abbas Rajabifard:
Open Mutual Learning: Ensemble of CNNS For Urban Building Footprint Extraction with Open Data. IGARSS 2024: 8131-8134 - [c16]Jagannath Aryal, Bipul Neupane:
Building Footprint Data from Earth Observation Contribute to Sustainable City Planning: A Perspective. IGARSS 2024: 9786-9789 - 2023
- [j39]Ujjwal KC
An adaptive quadtree-based approach for efficient decision making in wildfire risk assessment. Environ. Model. Softw. 160: 105590 (2023) - [j38]Chiranjibi Sitaula
A Novel Multiscale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j37]Jagannath Aryal
Multi-Scale Feature Map Aggregation and Supervised Domain Adaptation of Fully Convolutional Networks for Urban Building Footprint Extraction. Remote. Sens. 15(2): 488 (2023) - [j36]Aakash Thapa
Deep Learning for Remote Sensing Image Scene Classification: A Review and Meta-Analysis. Remote. Sens. 15(19): 4804 (2023) - [j35]Saroj Kumar Sharma
Characterizing Topographic Influences of Bushfire Severity Using Machine Learning Models: A Case Study in a Hilly Terrain of Victoria, Australia. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2791-2807 (2023) - [c15]Lilangi Wijesinghe, Dongryeol Ryu, Andrew Western, Jagannath Aryal, Yuan Zhang:
Simulating the Backscattering of L-Band Synthetic Aperture Radar from a Wheat Field using Smapvex12 Data. IGARSS 2023: 2787-2790 - [c14]Sumesh KC
Automated Delineation of the Agricultural Fields using Multi-Task Deep Learning and Optical Satellite Imagery. IGARSS 2023: 2795-2798 - [c13]Bipul Neupane, Jagannath Aryal, Abbas Rajabifard:
Knowledge Transfer and Model Compression for Misaligned Building Labels. IGARSS 2023: 3632-3635 - [i7]Bipul Neupane, Jagannath Aryal, Abbas Rajabifard:
A novel dual skip connection mechanism in U-Nets for building footprint extraction. CoRR abs/2303.09064 (2023) - [i6]Chiranjibi Sitaula, Sumesh KC
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification. CoRR abs/2305.00679 (2023) - [i5]Yuanzhi Cai, Jagannath Aryal, Yuan Fang, Hong Huang, Lei Fan:
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images. CoRR abs/2305.04766 (2023) - [i4]Aditya, Bharat Lohani, Jagannath Aryal, Stephan Winter:
Benchmarking Deep Learning Architectures for Urban Vegetation Points Segmentation. CoRR abs/2306.10274 (2023) - [i3]Chiranjibi Sitaula, Jagannath Aryal, Avik Bhattacharya:
A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification. CoRR abs/2308.14076 (2023) - [i2]Bipul Neupane, Jagannath Aryal, Abbas Rajabifard:
A Comparative Study of Knowledge Transfer Methods for Misaligned Urban Building Labels. CoRR abs/2311.03867 (2023) - 2022
- [j34]Ujjwal KC
A probability-based risk metric for operational wildfire risk management. Environ. Model. Softw. 148: 105286 (2022) - [j33]Hong Zhang, Hoang Nguyen
A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithm. Eng. Comput. 38(5): 3901-3914 (2022) - [j32]Krishna Lamsal, Zbynek Malenovský
Spectral Retrieval of Eucalypt Leaf Biochemical Traits by Inversion of the Fluspect-Cx Model. Remote. Sens. 14(3): 567 (2022) - [j31]Saroj Kumar Sharma
Remote Sensing and Meteorological Data Fusion in Predicting Bushfire Severity: A Case Study from Victoria, Australia. Remote. Sens. 14(7): 1645 (2022) - [j30]Anjar Dimara Sakti
Multi-Criteria Assessment for City-Wide Rooftop Solar PV Deployment: A Case Study of Bandung, Indonesia. Remote. Sens. 14(12): 2796 (2022) - [j29]Bipul Neupane
Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network. Sensors 22(10): 3813 (2022) - [j28]G. Sai Sesha Chalapathi
Energy and latency aware mobile task assignment for green cloudlets. Simul. Model. Pract. Theory 118: 102531 (2022) - [i1]Zhiyu Wang, Mohammad Goudarzi
Container Orchestration in Edge and Fog Computing Environments for Real-Time IoT Applications. CoRR abs/2203.05161 (2022) - 2021
- [j27]Ujjwal KC
Global sensitivity analysis for uncertainty quantification in fire spread models. Environ. Model. Softw. 143: 105110 (2021) - [j26]Bipul Neupane
Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis. Remote. Sens. 13(4): 808 (2021) - 2020
- [j25]Ujjwal KC, Saurabh Garg
A cloud-based framework for sensitivity analysis of natural hazard models. Environ. Model. Softw. 134: 104800 (2020) - [j24]Shirisa Timilsina
Mapping Urban Tree Cover Changes Using Object-Based Convolution Neural Network (OB-CNN). Remote. Sens. 12(18): 3017 (2020)
2010 – 2019
- 2019
- [j23]Majid Shadman Roodposhti
Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest. Entropy 21(1): 78 (2019) - [j22]Majid Shadman Roodposhti
A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change. Environ. Model. Softw. 112: 70-81 (2019) - [j21]Mitsuhiro Ozaki, Jagannath Aryal
Dynamic Wildfire Navigation System. ISPRS Int. J. Geo Inf. 8(4): 194 (2019) - [j20]Omid Ghorbanzadeh
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection. Remote. Sens. 11(2): 196 (2019) - [j19]Sachit Rajbhandari
Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping. Remote. Sens. 11(5): 503 (2019) - [j18]Omid Ghorbanzadeh
UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks. Remote. Sens. 11(17): 2046 (2019) - [j17]Sepideh Tavakkoli Piralilou, Hejar Shahabi
Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas. Remote. Sens. 11(21): 2575 (2019) - [j16]Majid Shadman Roodposhti
A Novel Rule-Based Approach in Mapping Landslide Susceptibility. Sensors 19(10): 2274 (2019) - [j15]Usman Salihu Lay
Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data. Sensors 19(16): 3451 (2019) - 2018
- [j14]Bethany Melville, Arko Lucieer
Object-based random forest classification of Landsat ETM+ and WorldView-2 satellite imagery for mapping lowland native grassland communities in Tasmania, Australia. Int. J. Appl. Earth Obs. Geoinformation 66: 46-55 (2018) - [j13]Saurabh Kumar Garg
Cloud computing based bushfire prediction for cyber-physical emergency applications. Future Gener. Comput. Syst. 79: 354-363 (2018) - [j12]Bethany Melville, Arko Lucieer
Assessing the Impact of Spectral Resolution on Classification of Lowland Native Grassland Communities Based on Field Spectroscopy in Tasmania, Australia. Remote. Sens. 10(2): 308 (2018) - [c12]Tran Nguyen Minh-Thai
A Computational Framework for Autonomous Self-repair Systems. Australasian Conference on Artificial Intelligence 2018: 153-159 - 2017
- [j11]Sachit Rajbhandari
Benchmarking the Applicability of Ontology in Geographic Object-Based Image Analysis. ISPRS Int. J. Geo Inf. 6(12): 386 (2017) - [j10]Anne Hardy
Tracking tourists' travel with smartphone-based GPS technology: a methodological discussion. J. Inf. Technol. Tour. 17(3): 255-274 (2017) - 2016
- [j9]Majid Shadman Roodposhti
Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method. Entropy 18(10): 343 (2016) - [j8]Romain Louvet, Didier Josselin, Cyrille Genre-Grandpierre, Jagannath Aryal
Impact des niveaux d'échelle sur l'étude des feux de forêts du sud-est de la France. Rev. Int. Géomatique 26(4): 445-466 (2016) - [j7]Asim Anees
A Relative Density Ratio-Based Framework for Detection of Land Cover Changes in MODIS NDVI Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(8): 3359-3371 (2016) - 2015
- [c11]Cecil Li, Ritaban Dutta, Daniel V. Smith, Aruneema Das, Jagannath Aryal
Farm biosecurity hot spots prediction using big data analytics. ICDE Workshops 2015: 101-104 - [c10]Jagannath Aryal
Smart city and geospatiality: Hobart deeply learned. ICDE Workshops 2015: 108-109 - [c9]Ritaban Dutta, Cecil Li, Daniel V. Smith, Aruneema Das, Jagannath Aryal
Big Data Architecture for Environmental Analytics. ISESS 2015: 578-588 - [c8]Ritaban Dutta, Heiko Mueller, Daniel V. Smith, Aruneema Das, Jagannath Aryal:
Interactive Visual Big Data Analytics for Large Area Farm Biosecurity Monitoring: i-EKbase System. BigMine 2015: 9-18 - [c7]Romain Louvet, Didier Josselin, Cyrille Genre-Grandpierre, Jagannath Aryal:
Impact du changement d'échelle sur l'étude des causes des feux de forêts du sud-est de la France. SAGEO 2015: 254-268 - 2014
- [j6]Ritaban Dutta, Ahsan Morshed, Jagannath Aryal
Development of an intelligent environmental knowledge system for sustainable agricultural decision support. Environ. Model. Softw. 52: 264-272 (2014) - [j5]Jagannath Aryal
Environmental Object Recognition in a Natural Image: An Experimental Approach Using Geographic Object-Based Image Analysis (GEOBIA). Int. J. Agric. Environ. Inf. Syst. 5(1): 1-18 (2014) - [j4]Asim Anees, Jagannath Aryal
A Statistical Framework for Near-Real Time Detection of Beetle Infestation in Pine Forests Using MODIS Data. IEEE Geosci. Remote. Sens. Lett. 11(10): 1717-1721 (2014) - [j3]Asim Anees, Jagannath Aryal
Near-Real Time Detection of Beetle Infestation in Pine Forests Using MODIS Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(9): 3713-3723 (2014) - [c6]Ritaban Dutta, Aruneema Das, Daniel V. Smith, Jagannath Aryal
Autonomous Framework for Sensor Network Quality Annotation: Maximum Probability Clustering Approach. ICCS 2014: 2201-2207 - [p1]Ritaban Dutta, Ahsan Morshed, Jagannath Aryal
Recommending Environmental Big Data Using Semantically Guided Machine Learning. Large Scale and Big Data 2014: 463-494 - 2013
- [j2]Julio Rojas-Mora
The Weighted Fuzzy Barycenter: Definition and Application to Forest Fire Control in the PACA Region. Int. J. Agric. Environ. Inf. Syst. 4(4): 48-67 (2013) - [c5]Ahsan Morshed, Ritaban Dutta, Jagannath Aryal
Recommending environmental knowledge as linked open data cloud using semantic machine learning. ICDE Workshops 2013: 27-28 - [c4]Jagannath Aryal
Development of an intelligent environmental knowledge recommendation system for sustainable water resource management using modis satellite imagery. IGARSS 2013: 2204-2207 - [c3]Asim Anees, J. Corne Olivier, Malgorzata M. O'Reilly
Detecting beetle infestations in pine forests using MODIS NDVI time-series data. IGARSS 2013: 3329-3332 - [c2]Ahsan Morshed, Jagannath Aryal
Environmental Spatio-temporal Ontology for the Linked Open Data Cloud. TrustCom/ISPA/IUCC 2013: 1907-1912 - 2011
- [c1]Julie Prud'homme, Didier Josselin
Quantitative Analysis of Pollutant Emissions in the Context of Demand Responsive Transport. ICCSA (1) 2011: 439-453
2000 – 2009
- 2005
- [j1]Alfred Stein, Jagannath Aryal
Use of the Bradley-Terry model to quantify association in remotely sensed images. IEEE Trans. Geosci. Remote. Sens. 43(4): 852-856 (2005)
Coauthor Index
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last updated on 2024-12-10 20:48 CET by the dblp team
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