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
• OMAD-6: Advancing Offshore Mariculture Monitoring with a Comprehensive Six-Type Dataset and Performance Benchmark
• Cross-view geolocalization and disaster mapping with street-view and VHR satellite imagery: A case study of Hurricane IAN
• Cross-Domain Transfer Learning for Natural Scene Classification of Remote-Sensing Imagery
• CoastVisionNet: transformer with integrated spatial-channel attention for coastal land cover classification
• LGCANet: Local–Global and Change-Aware Network via Segment Anything Model for Remote Sensing Images Change Detection
• EMHANet: Lightweight Salient Object Detection for Remote Sensing Images via Edge-Aware Multiscale Feature Fusion
• LisseMars: A Lightweight Semantic Segmentation Model for Mars Helicopter
• Physics-Informed Deep Learning with GLCM-Integrated Loss for Building Damage Assessment Using Remote Sensing
• Spatio-temporal Analysis of Vegetation Disturbance and Recovery in the Cerrado-Amazon Transition Using Landsat Time Series and Deep Learning
• GeoFusion-SR: A Geospatial Fusion Network for High-Resolution Digital Elevation Model Super-Resolution
• GIMMNet: Geometry-Aware Interactive Multi-Modal Network for Semantic Segmentation of High-Resolution Remote Sensing Imagery

Astronomy

• Point spread function deconvolution using a convolutional autoencoder
• Euclid: Finding strong gravitational lenses in the early release observations using convolutional neural networks

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
• Tuned Fusion Deep Learning Approach for Unsupervised Cyclone Passive Microwave Rainfall Imagery Prediction
• Lightweight Sky Balloon Target Detection Algorithm Based on Improved YOLOv8

Seismic

• Microearthquakes identification based on convolutional neural networks and clustering techniques

Ocean

• Faster AMEDA—A Hybrid Mesoscale Eddy Detection Algorithm
• New Approach for Underwater Dunes Segmentation Using Deep Learning
• EFFICIENT SHIP DETECTION ON LARGE OPEN SEA AREAS
• MGFGNet: an automatic underwater acoustic target recognition method based on the multi-gradient flow global feature enhancement network
• SPyramidLightNet: A Lightweight Shared Pyramid Network for Efficient Underwater Debris Detection
• Automatic Detection System for Underwater Military Targets

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
• From Data to D3 Model: Adaptive Subsurface Anomaly Detection in GPR Data
• GLA-STDeepLab: SAR Enhancing Glacier and Ice Shelf Front Detection Using Swin-TransDeepLab With Global–Local Attention
• Oriented Decoupling Target Detection Method for SAR Image Based on Multi-channel Localization and Soft Thresholding
• MPCR: Masked Autoencoder with Patch Merger Based on Convolutional Neural Network and Re-Attention for Polarimetric SAR Image Classification

Vehicles

• Double FCOS: A Two-Stage Model Utilizing FCOS for Vehicle Detection in Various Remote Sensing Scenes
• A Multi-Scale Feature Fusion Based Lightweight Vehicle Target Detection Network on Aerial Optical Images
• High-precision and lightweight small-target detection algorithm for low-cost edge intelligence
• Quantifying the Effect of Super-Resolution on Aerial Scene Classification