Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives



Jun Yue , Leyuan Fang , Pedram Ghamisi , Weiying Xie , Jun Li , Jocelyn Chanussot , Antonio J Plaza


   Access Paper or Ask Questions

HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package



Daniel Coquelin , Behnood Rasti , Markus Götz , Pedram Ghamisi , Richard Gloaguen , Achim Streit

* 5 pages 

   Access Paper or Ask Questions

Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection



Shizhen Chang , Pedram Ghamisi


   Access Paper or Ask Questions

Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark



Yonghao Xu , Pedram Ghamisi


   Access Paper or Ask Questions

Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations



Yonghao Xu , Pedram Ghamisi


   Access Paper or Ask Questions

Asymmetric Hash Code Learning for Remote Sensing Image Retrieval



Weiwei Song , Zhi Gao , Renwei Dian , Pedram Ghamisi , Yongjun Zhang , Jón Atli Benediktsson

* 14 pages, 12 figures, and 2 tables 

   Access Paper or Ask Questions

NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery



Ming Lu , Leyuan Fang , Muxing Li , Bob Zhang , Yi Zhang , Pedram Ghamisi


   Access Paper or Ask Questions

Deep Learning and Earth Observation to Support the Sustainable Development Goals



Claudio Persello , Jan Dirk Wegner , Ronny Hänsch , Devis Tuia , Pedram Ghamisi , Mila Koeva , Gustau Camps-Valls


   Access Paper or Ask Questions

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning



Yaoming Cai , Zijia Zhang , Yan Liu , Pedram Ghamisi , Kun Li , Xiaobo Liu , Zhihua Cai

* Under review by IEEE Trans. xxx 

   Access Paper or Ask Questions

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering



Yaoming Cai , Zijia Zhang , Zhihua Cai , Xiaobo Liu , Yao Ding , Pedram Ghamisi

* Under review by IEEE Trans. xxx 

   Access Paper or Ask Questions

1
2
3
>>