A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability. [PDF]
Balasundaram A +4 more
europepmc +1 more source
A No-Reference Multivariate Gaussian-Based Spectral Distortion Index for Pansharpened Images. [PDF]
Adam BOA, Li X, Wu J, Hao X.
europepmc +1 more source
An optimization framework for hierarchical clustering. [PDF]
Gilad G, Sharan R.
europepmc +1 more source
Hyperspectral imaging system for multiplexed cancer marker detection: design and clinical evaluation. [PDF]
Ben-Ami O +8 more
europepmc +1 more source
Developing Multimodal Cu-TCP@PCL Periosteal Patch with Modulated Morphogenesis and Osteogenic Enhancement for Bone Tissue-Engineering Application. [PDF]
Zhang W +10 more
europepmc +1 more source
A new method of semi-supervised learning classification based on multi-mode augmentation in small labeled sample environment. [PDF]
Liu Y, Wen C.
europepmc +1 more source
Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images. [PDF]
Srinivasu PN +4 more
europepmc +1 more source
Deep Learning-Based Fusion of Optical, Radar, and LiDAR Data for Advancing Land Monitoring. [PDF]
Li Y, Xiao X.
europepmc +1 more source
A Novel Pan-Sharpening Framework Based on Matting Model and Multiscale Transform
Pan-sharpening aims to sharpen a low spatial resolution multispectral (MS) image by combining the spatial detail information extracted from a panchromatic (PAN) image.
Yue Que, Pan Lin, Weiguo Wan
exaly +2 more sources
Pan-Mamba: Effective pan-sharpening with state space model [PDF]
Pan-sharpening involves integrating information from low-resolution multi-spectral and high-resolution panchromatic images to generate high-resolution multi-spectral counterparts.
Chengjun Xie, Rui Li
exaly +2 more sources

