SOLO-Net: A Sparser but Wiser Method for Small Object Detection in Remote-Sensing Images

Small object detection in remote-sensing images is essential, yet challenging due to the unique characteristics of small objects. On the one hand, it can be difficult to distinguish small objects from complex backgrounds. On the other hand, due to their minuscule size, small objects are also easily...

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Vydané v:	IEEE geoscience and remote sensing letters Ročník 21; s. 1 - 5
Hlavní autori:	Lei, Mengqi, Liu, Xianyuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Aggregation Convergence Detection Feature extraction Modules Object detection Object recognition Performance enhancement Performance evaluation Remote sensing Remote-sensing images Sensors Sigmoid-intersection over union (IoU) loss small object detection Sports top-k sparse outlook (TKSO) attention Training
ISSN:	1545-598X, 1558-0571
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