A multimodal hyper-fusion transformer for remote sensing image classification
The multispectral (MS) and the panchromatic (PAN) images represent complementary and
synergistic spatial spectral information, how to make optimal use of the advantages of them …
synergistic spatial spectral information, how to make optimal use of the advantages of them …
A framework for crop yield estimation and change detection using image fusion of microwave and optical satellite dataset
Crop yield prediction is one of the crucial components of agriculture that plays an important
role in the decision-making process for sustainable agriculture. Remote sensing provides …
role in the decision-making process for sustainable agriculture. Remote sensing provides …
K-means clustering guided generative adversarial networks for SAR-optical image matching
Synthetic Aperture Radar and optical (SAR-optical) image matching is a technique of finding
correspondences between SAR and optical images. SAR-optical image matching can be …
correspondences between SAR and optical images. SAR-optical image matching can be …
Domain adaptation for unsupervised change detection of multisensor multitemporal remote-sensing images
M Farahani, A Mohammadzadeh - International Journal of Remote …, 2020 - Taylor & Francis
With the advancement of the space-based imaging technology, large amounts of images of
different modality and spatial, spectral, and temporal resolutions are available. However, it is …
different modality and spatial, spectral, and temporal resolutions are available. However, it is …
[PDF][PDF] Evaluation of the performance of SAR and SAR-optical fused dataset for crop discrimination
Crop discrimination and acreage play a vital role in interpreting the cropping pattern,
statistics of the produce and market value of each product. Sultan Battery is an area where a …
statistics of the produce and market value of each product. Sultan Battery is an area where a …
Estimation of landcover types over himalayan region with the classification of optical and microwave-based image fusion dataset
Himalayas play a significant role in terms of climate influence, the origin of rivers,
hydropower generation, tourism, and forest wealth. The monitoring of the rugged terrain …
hydropower generation, tourism, and forest wealth. The monitoring of the rugged terrain …
Model-based estimation of forest canopy height and biomass in the Canadian Boreal forest using radar, LiDAR, and optical remote sensing
One of the fundamental technical challenges of any new spaceborne vegetation remote
sensing mission is the determination of what sensor (s) to place onboard and what, if any …
sensing mission is the determination of what sensor (s) to place onboard and what, if any …
[PDF][PDF] A Framework for Crop Yield Estimation and Change Detection Using Image Fusion of Microwave and Optical Satellite Dataset. Quaternary 2023, 6, 28
Crop yield prediction is one of the crucial components of agriculture that plays an important
role in the decision-making process for sustainable agriculture. Remote sensing provides …
role in the decision-making process for sustainable agriculture. Remote sensing provides …
[PDF][PDF] A Watershed-Canny Based Approach for Building Footprint Extraction from Very High Resolution Optical Image
F SAIDI, J CHEN - scholar.archive.org
The advanced very high resolution (VHR) sensors are capable of achieving submeter
resolution, which offers the opportunity for a fine level of analysis of man-made structures. In …
resolution, which offers the opportunity for a fine level of analysis of man-made structures. In …