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Remote sensing mapping of Xinjiang cotton based on the theory of stable classification with limited sample
- “Breakthroughs have been made in remote sensing mapping of cotton in Xinjiang. Based on the theory of limited sample stable classification, researchers have constructed sample sets and designed samples by adding geographic spatial constraints. The study explores the stability mechanism of cotton classification under limited sample conditions from two dimensions: minimum sample size and tolerance for erroneous samples. This provides a new theoretical basis and technical path for constructing a high-precision and timely cotton remote sensing mapping system in Xinjiang, where planting structures are complex and sample acquisition costs are high.”
- Vol. 30, Issue 9, Pages: 2689-2700(2026)
DOI:10.11834/jrs.20266068
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