activity
20202026
most citedFPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

217 citations · 447 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

EarthVL: A Progressive Earth Vision-Language Understanding and Generation Framework

Junjue Wang, Yanfei Zhong, Zihang Chen +3

Earth vision has achieved milestones in geospatial object recognition but lacks exploration in object-relational reasoning, limiting comprehensive scene understanding. To address t…

cs.CV2024★ 19 cited

Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection

Zhuo Zheng, Yanfei Zhong, Ailong Ma +1

Bitemporal supervised learning paradigm always dominates remote sensing change detection using numerous labeled bitemporal image pairs, especially for high spatial resolution (HSR)…

cs.CV2023

EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

Junjue Wang, Zhuo Zheng, Zihang Chen +2

Earth vision research typically focuses on extracting geospatial object locations and categories but neglects the exploration of relations between objects and comprehensive reasoni…

cs.CV2023★ 1 cited

Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process

Zhuo Zheng, Shiqi Tian, Ailong Ma +2

Understanding the temporal dynamics of Earth's surface is a mission of multi-temporal remote sensing image analysis, significantly promoted by deep vision models with its fuel -- l…

cs.CV2022★ 1 cited

AutoLC: Search Lightweight and Top-Performing Architecture for Remote Sensing Image Land-Cover Classification

Chenyu Zheng, Junjue Wang, Ailong Ma +1

Land-cover classification has long been a hot and difficult challenge in remote sensing community. With massive High-resolution Remote Sensing (HRS) images available, manually and…

cs.CV2021★ 162 cited

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Junjue Wang, Zhuo Zheng, Ailong Ma +2

Deep learning approaches have shown promising results in remote sensing high spatial resolution (HSR) land-cover mapping. However, urban and rural scenes can show completely differ…