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Found 6 papers, 4 papers with code
A Parallel Attention Network for Cattle Face Recognition
Thus, we create the first large-scale cattle face recognition dataset, ICRWE, for wild environments.
PanBench: Towards High-Resolution and High-Performance Pansharpening
Pansharpening, a pivotal task in remote sensing, involves integrating low-resolution multispectral images with high-resolution panchromatic images to synthesize an image that is both high-resolution and retains multispectral information.
High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark
Lake extraction from remote sensing imagery is a complex challenge due to the varied lake shapes and data noise.
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images
Optical satellite images are a critical data source; however, cloud cover often compromises their quality, hindering image applications and analysis.
LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery
LEFormer contains three main modules: CNN encoder, Transformer encoder, and cross-encoder fusion.
PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery
Satellite imagery analysis plays a pivotal role in remote sensing; however, information loss due to cloud cover significantly impedes its application.
