Aldino Rizaldy

Helmholtz-Zentrum Dresden-Rossendorf — Germany

Environmental Science · Physical Sciences

6h-index185citations31works1.82yr avg
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Research Topics

Remote Sensing and LiDAR Applications(17), 3D Surveying and Cultural Heritage(13), Remote-Sensing Image Classification(7), Satellite Image Processing and Photogrammetry(7), Geochemistry and Geologic Mapping(4)

Publications31 total

3D-ABC: A Foundation Model for Global Terrestrial 3D above and below Ground Carbon Stock Mapping
2025
Deep learning with lidar for Earth observation
Elsevier eBooks·2025
Contributors
Elsevier eBooks·2025Open Access
HyperPointFormer: Multimodal Fusion in 3-D Space With Dual-Branch Cross-Attention Transformers
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2025· 1 citedOpen Access
Investigating State of the Art Hyperspectral Imaging Classification Models for Plastic Types Identification
2024· 2 cited
Multi-Sensor Multi-Stream Data Fusion Using Deep Learning for Hyperspectral Point Cloud Segmentation
2024
Dimensional Dilemma: Navigating the Fusion of Hyperspectral and Lidar Point Cloud Data for Optimal Precision – 2D vs. 3D
2024· 4 cited
MineNet-CD: Global Mining Change Detection Dataset
2024· 1 cited
Towards 3D Hyperspectral Imaging
2024· 1 cited
Channel Attention Module for Segmentation of 3D Hyperspectral Point Clouds in Geological Applications
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2024· 2 citedOpen Access
Improving Mineral Classification Using Multimodal Hyperspectral Point Cloud Data and Multi-Stream Neural Network
Remote Sensing·2024· 9 citedOpen Access
COMPARISON OF DEEP LEARNING ARCHITECTURES FOR THE SEMANTIC SEGMENTATION OF SLUM AREAS FROM SATELLITE IMAGES
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences·2023· 3 citedOpen Access
Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences
IEEE Transactions on Geoscience and Remote Sensing·2023· 16 citedOpen Access
Transformer-Based Models for Hyperspectral Point Clouds Segmentation
2023· 2 cited
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences
arXiv (Cornell University)·2023Open Access
The application of mask R-CNN for building extraction
AIP conference proceedings·2023· 1 cited
Accuracy Assessment of Satellite Derived Bathymetry Model for Depth Extraction in Sorong Shallow Water Area
IOP Conference Series Earth and Environmental Science·2021· 5 citedOpen Access
ASSESSING THE ACCURACY OF SHALLOW WATER DEPTH ESTIMATION BY USING MULTISPECTRAL SATELLITE IMAGES
Geographia Technica·2021· 1 citedOpen Access
A Simple But Effective Approach of Building Footprint Extraction in Topographic Mapping Acceleration
Indonesian Journal on Geoscience·2021· 2 citedOpen Access
Assessing the effect of various training and testing set ratios to model the satellite derived bathymetry
IOP Conference Series Earth and Environmental Science·2020· 4 citedOpen Access
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Frequent Co-authors

Richard Gloaguen(12), Pedram Ghamisi(11), Ahmed J. Afifi(9), Sandra Lorenz(4), Claudio Persello(3), Caroline Gevaert(3), Sander Oude Elberink(3), Samuel T. Thiele(3), Moritz Kirsch(3), Michael Heizmann(3), Ratna Dewi(3), Danang Budi Susetyo(3), Prayudha Hartanto(3), George Vosselman(2), Raimon Tolosana‐Delgado(2), Aji Rahmayudi(2), Yustisi Lumban-Gaol(2), Elias Arbash(2), Mochamad Irwan Hariyono(2), Nugroho Purwono(2)