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阿里達摩院發布業內首個遙感AI大模型 提升遙感應用分析效率
阿里達摩院發布業內首個遙感AI大模型,該模型可識別農田、農作物、建築等地表萬物,讓AI進一步下沉到田間地頭,大幅提升災害防治、自然資源管理、農業估產等遙感應用的分析效率,該模型已在AI Earth地球科學雲平台開放使用。 達摩院這次提出的遙感AI解譯通用分割模型(AIE-SEG),率先在遙感領域實現了影像分割的任務統一,可實現「萬物零樣本」的快速提取,識別農田、水域、建築物等近百種遙感地物分類,且多項任務處理下依舊保持高精度的識別,並能根據用戶的互動式回饋自動調優識別結果。在一些特定情境下,比較傳統的遙感模型,實例擷取的準確率可提升25%,變化偵測的準確率可提升30%。
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