遙感技術(shù)在典型海灣海域使用動態(tài)識別中的研究

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中圖分類號：P717 文獻標志碼：A 文章編號：1004—6755（2025）07-0031—03

Research on the application of remote sensing technology in spatiotemporal dynamics monitoring of typical bay areas

LIU Ke

（Shenzhen Ocean Development Promotion Center，Shenzhen 5l8ooo，China）

Abstract：To enhance the accuracy and eficiency of spatiotemporal dynamics monitoring in typical bay areas，this study evaluates the applicability of multi一source remote sensing imagery in discriminating typical marine functional zones，such as port operation zones，intertidal buffer areas，and marine aquaculture zones，and using Jiaozhou Bay as the study area， this research integrates multi-source remote sensing data （Sentinel -1 ，Sentinel-2，and MODIS），employs a CNN-RF hybrid algorithm，achieving an overall classification accuracy of 91.68% and a Kappa coeficient of O.869. These results significantly surpass those of traditional SVM methods （81.35% ，0.756） and multi-scale segmentation approaches （ 85.92% ，0.802），thereby validating the superior performance of multi一 source remote sensing fusion and inteligent algorithms in interpreting complex marine environments.

Key words：remote sensing recognition；gulf sea area；dynamic monitoring

典型海灣海域作為陸海交匯的重要生態(tài)空間，承載著密集的人類活動與復(fù)雜的自然過程，其空間利用格局與生態(tài)環(huán)境動態(tài)變化密切相關(guān)。（剩余3444字）