Remote Sensing
- PSMDet: Enhancing Detection Accuracy in Remote Sensing Images Through Self-Modulation and Gaussian-Based Regression
- An Improved Adaptive Angle Weakly Supervised Learning Object Detection
- MSAttU-Net:A water body extraction network for Nanjing that overcomes interference in shaded areas
- Landsat data-driven identification of surface soil freeze and thaw states: a comparison of various target detection and semantic segmentation models
- Double FCOS: A Two-Stage Model Utilizing FCOS for Vehicle Detection in Various Remote Sensing Scenes
- OMAD-6: Advancing Offshore Mariculture Monitoring with a Comprehensive Six-Type Dataset and Performance Benchmark
- A Multi-Scale Feature Fusion Based Lightweight Vehicle Target Detection Network on Aerial Optical Images
Atmosphere
- Retrievals of Biomass Burning Aerosol and Liquid Cloud Properties from Polarimetric Observations Using Deep Learning Techniques
- A global classification dataset of daytime and nighttime marine low-cloud mesoscale morphology based on deep-learning methods
SAR/GPR
- Can Synthetic Aperture Radar Enhance the Quality of Satellite-Based Mangrove Detection? A Focus on the Denpasar Region of Indonesia
- From Coarse to Fine: ISAR Object View Interpolation via Flow Estimation and GAN
- Large Convolution Kernel Network with Edge Self-attention for Oriented SAR Ship Detection
- Subsurface Defect Detection in GPR Data Integrating Temporal and Spatial Features
- A Self-Supervised Feature Point Detection Method for ISAR Images of Space Targets