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A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022) · cited 14× · AI/ML
A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China
Summary
A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China is a scholarly article[1].
Key Facts
A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-impervious-surface-extraction-method-based-on-automatically-generating-training-samples-from-multisource-remote-
MLA“A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-impervious-surface-extraction-method-based-on-automatically-generating-training-samples-from-multisource-remote-.
BibTeX@misc{4ortxyz_a-novel-impervious-surface-extraction-method-based-on-automatically-generating-training-samples-from-multisource-remote-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-impervious-surface-extraction-method-based-on-automatically-generating-training-samples-from-multisource-remote-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China — https://4ort.xyz/entity/a-novel-impervious-surface-extraction-method-based-on-automatically-generating-training-samples-from-multisource-remote- (retrieved 2026-05-24)
