Detection Method Based on Image Enhancement and an Improved Faster R-CNN for Failed Satellite Components

Research article (IEEE Transactions on Instrumentation and Measurement, 2023) · cited 30× · AI/ML
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Detection Method Based on Image Enhancement and an Improved Faster R-CNN for Failed Satellite Components

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Detection Method Based on Image Enhancement and an Improved Faster R-CNN for Failed Satellite Components is a scholarly article[1].

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  • Detection Method Based on Image Enhancement and an Improved Faster R-CNN for Failed Satellite Components's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Detection Method Based on Image Enhancement and an Improved Faster R-CNN for Failed Satellite Components. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-method-based-on-image-enhancement-and-an-improved-faster-r-cnn-for-failed-satellite-components
MLA “Detection Method Based on Image Enhancement and an Improved Faster R-CNN for Failed Satellite Components.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-method-based-on-image-enhancement-and-an-improved-faster-r-cnn-for-failed-satellite-components.
BibTeX @misc{4ortxyz_detection-method-based-on-image-enhancement-and-an-improved-faster-r-cnn-for-failed-satellite-components_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection Method Based on Image Enhancement and an Improved Faster R-CNN for Failed Satellite Components}}, year = {2026}, url = {https://4ort.xyz/entity/detection-method-based-on-image-enhancement-and-an-improved-faster-r-cnn-for-failed-satellite-components}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection Method Based on Image Enhancement and an Improved Faster R-CNN for Failed Satellite Components — https://4ort.xyz/entity/detection-method-based-on-image-enhancement-and-an-improved-faster-r-cnn-for-failed-satellite-components (retrieved 2026-05-24)

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