most citedAeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation

4 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20251 cited

SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Kaiyu Li, Zepeng Xin, Li Pang +7

Remote sensing has become critical for understanding environmental dynamics, urban planning, and disaster management. However, traditional remote sensing workflows often rely on ex…

cs.CV2025

SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP

Li Pang, Jing Yao, Kaiyu Li +3

Hyperspectral image (HSI) classification aims to categorize each pixel in an HSI into a specific land cover class, which is crucial for applications such as remote sensing, environ…

cs.CV2024

Mask Approximation Net: A Novel Diffusion Model Approach for Remote Sensing Change Captioning

Dongwei Sun, Jing Yao, Wu Xue +3

Remote sensing image change description represents an innovative multimodal task within the realm of remote sensing processing.This task not only facilitates the detection of alter…

cs.CV2024

Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method

Pan Yin, Kaiyu Li, Xiangyong Cao +5

Recently, road graph extraction has garnered increasing attention due to its crucial role in autonomous driving, navigation, etc. However, accurately and efficiently extracting roa…

cs.CV20244 cited

AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation

Datao Tang, Xiangyong Cao, Xuan Wu +6

Remote sensing image object detection (RSIOD) aims to identify and locate specific objects within satellite or aerial imagery. However, there is a scarcity of labeled data in curre…