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20152023
most citedMore Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

1.4k citations · 2.4k across the 23 of their papers we have counts for

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cs.CV2023

Efficient Object Detection in Optical Remote Sensing Imagery via Attention-based Feature Distillation

Pourya Shamsolmoali, Jocelyn Chanussot, Huiyu Zhou +1

Efficient object detection methods have recently received great attention in remote sensing. Although deep convolutional networks often have excellent detection accuracy, their dep…

cs.CV20239 cited

SUnAA: Sparse Unmixing using Archetypal Analysis

Behnood Rasti, Alexandre Zouaoui, Julien Mairal +1

This paper introduces a new sparse unmixing technique using archetypal analysis (SUnAA). First, we design a new model based on archetypal analysis. We assume that the endmembers of…

cs.CV2022

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review

Minghua Wang, Danfeng Hong, Zhu Han +5

Owing to the rapid development of sensor technology, hyperspectral (HS) remote sensing (RS) imaging has provided a significant amount of spatial and spectral information for the ob…

cs.CV2022

Enhanced Single-shot Detector for Small Object Detection in Remote Sensing Images

Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger +2

Small-object detection is a challenging problem. In the last few years, the convolution neural networks methods have been achieved considerable progress. However, the current detec…

cs.CV20222 cited

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

Jiaxin Li, Danfeng Hong, Lianru Gao +4

With the extremely rapid advances in remote sensing (RS) technology, a great quantity of Earth observation (EO) data featuring considerable and complicated heterogeneity is readily…

cs.CV202279 cited

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

Jun Yue, Leyuan Fang, Pedram Ghamisi +4

In recent years, supervised learning has been widely used in various tasks of optical remote sensing image understanding, including remote sensing image classification, pixel-wise…