基于高分六号影像的杭州市黑臭水体遥感识别研究

Remote Sensing Identification of Black-odorous Water in Hangzhou Based on GF-6 Images

及时准确地识别城市中存在的黑臭水体对治理城市黑臭水体具有重要价值.本文应用并对比了单波段法、比值法、差值法和两种黑臭水体模型判别指数法(HCI1、HCI2)共5种城市黑臭水体识别算法在杭州市的适用性.结果表明,5种算法能不同程度地识别黑臭水体,波段差值方法对正常水体的识别精度最高(88.5%),HCI1方法对黑臭水体识别精度最高(94.4%),但所有算法均存在误判现象,有待后续改善.

Timely and accurate identification of black-odorous water in cities is of great value to the treatment of urban black-odorous water.This paper applied and compared the applicability of five kinds of urban black-odorous water identification algorithms in Hangzhou,including single-band method,ratio method,difference method and two kinds of HeiChou Identification models(HCI1,HCI2).The results showed that the five algorithms could identify the black-odorous water body in different degrees.The band difference method had the highest recognition accuracy for the normal water body(88.5%),and the HCI1 method had the highest accuracy for the black-odorous water body(94.4%).However,all the algorithms had misjudgments which needed the further improvement.