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3
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3236777
Abstract: Remote sensing object detection has been an important and challenging research hot spot in computer vision that is widely used in military and civilian fields. Recently, the combined detection model of convolutional neural network (CNN)…
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Keywords:
remote sensing;
sensing object;
detection;
object detection ... See more keywords
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2
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3276052
Abstract: As a convention, satellites and drones are equipped with sensors of both the visible light spectrum and the infrared (IR) spectrum. However, existing remote sensing object detection methods mostly use RGB images captured by the…
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Keywords:
object detection;
sensing object;
multispectral feature;
remote sensing ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3210980
Abstract: Annotating remote-sensing object recognition needs high professionalism, and thus limited labeled samples are available. Suffering from this, general remote-sensing object recognition methods are facing low recognition accuracy. Addressing this issue, this article proposes a diversity…
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Keywords:
recognition;
remote sensing;
sensing object;
object recognition ... See more keywords
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3
Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3238185
Abstract: In recent decades, remote sensing object counting has attracted increasing attention from academia and industry due to its potential benefits in urban traffic, public safety, and road planning. However, this issue is becoming a challenge…
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Keywords:
network;
fusion;
remote sensing;
sensing object ... See more keywords