入河排污口遥感排查进展评述

黄耀欢; 熊标; 杨海军; 伍程斌; 朱海涛

doi:10.11873/j.issn.1004-0323.2022.1.0024

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2022, Vol. 37 鈥衡�� Issue (1): 24-33.DOI: 10.11873/j.issn.1004-0323.2022.1.0024

鈥� 闈掍績浼氬崄鍛ㄥ勾涓撴爮鈥� 涓婁竴绡� 涓嬩竴绡�

鍏ユ渤鎺掓薄鍙ｉ仴鎰熸帓鏌ヨ繘灞曡瘎杩�

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鏀剁鏃ユ湡:2021-10-20 淇洖鏃ユ湡:2022-01-20 鍑虹増鏃ユ湡:2022-02-20 鍙戝竷鏃ユ湡:2022-04-08
閫氳浣滆��: 鐔婃爣
浣滆�呯畝浠�:榛勮��娆紙1982-锛夛紝鐢凤紝瀹夊窘榛勫北浜猴紝鍓爺绌跺憳锛屼富瑕佷粠浜嬫棤浜烘満閬ユ劅搴旂敤鐮旂┒銆侲?mail: huangyh@igsnrr.ac.cn
鍩洪噾璧勫姪:
鍥藉閲嶇偣鐮斿彂璁″垝(2021YFC3002103);涓浗绉戝闄肌绫绘垬鐣ユ�у厛瀵肩鎶�涓撻」(XDA19040402);鍥藉鑷劧绉戝鍩洪噾椤圭洰(41971359);楂樺垎鍏辨�т骇鍝佺湡瀹炴�ф楠屽叧閿妧鏈爺绌朵笌鏍囧噯瑙勮寖缂栧埗(21?Y20B01?9001?19/22)

Review on the Progress of Remote Sensing Investigation of the Outfalls into Rivers

Yaohuan Huang^1,²(),Biao Xiong^1,²(),Haijun Yang³,Chengbin Wu^1,²,Haitao Zhu³

^1.State Key Laboratory of Resources and Environmental Information System锛孖nstitute of Geographic Sciences and Natural Resources Research锛孋hinese Academy of Sciences锛孊eijing 100101锛孋hina
^2.College of Resource and Environment锛孶niversity of Chinese Academy of Sciences锛孊eijing 100049锛孋hina
^3.Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment锛孊eijing 100094锛孋hina

Received:2021-10-20 Revised:2022-01-20 Online:2022-02-20 Published:2022-04-08
Contact: Biao Xiong

鎽樿/Abstract

鎽樿锛�

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鍏抽敭璇�: 鍏ユ渤鎺掓薄鍙�, 鎺掓煡, 閬ユ劅, 鏃犱汉鏈�, 鐩爣妫�娴�

Abstract:

Outfalls into rivers are the last checkpoint for man-made pollutants flowing into rivers. Accurate investigation of them plays an important role in the protection of water resources and the prevention and control of water pollution. Firstly锛� the progress of large-scale investigations of outfalls into rivers in the past 30 years were reviewed and the four aspects of manual field survey锛� GIS accounting system construction锛� satellite remote sensing monitoring and Unmanned Aerial Vehicle 锛圲AV锛� investigation are introduced. Secondly锛� after analyzing remote sensing monitoring techniques for outfalls into rivers锛� which are based on direct visual interpretation锛� water environment parameters inversion and ground targets classification and other methods commonly used锛� the limitations of the application of the above methods on UAV images are discussed. And then锛� through introducing briefly the principle of the object detection method based on deep learning锛� the application status and key techniques of the deep learning-based object detection method implemented on the UAV remote sensing investigation of outfalls into rivers are discussed. Finally锛� analyzing the application prospect of deep learning on the recognition of outfalls into rivers using UAV imagery and looking forward the research emphasis of monitoring complex geographical objects including outfalls into rivers based on UAV remote sensing technique.

Key words: Outfalls into river, Investigation, Remote sensing, Unmanned Aerial Vehicle 锛圲AV锛�, Object detection

涓浘鍒嗙被鍙�:

X522

榛勮��娆�,鐔婃爣,鏉ㄦ捣鍐�,浼嶇▼鏂�,鏈辨捣娑�. 鍏ユ渤鎺掓薄鍙ｉ仴鎰熸帓鏌ヨ繘灞曡瘎杩癧J]. 閬ユ劅鎶�鏈笌搴旂敤, 2022, 37(1): 24-33.

Yaohuan Huang,Biao Xiong,Haijun Yang,Chengbin Wu,Haitao Zhu. Review on the Progress of Remote Sensing Investigation of the Outfalls into Rivers[J]. Remote Sensing Technology and Application, 2022, 37(1): 24-33.

鍙傝�冩枃鐚�

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[5]	鍚村彅闃�, 閮戝崥绂�, 姹睙, 鍒樺繝, 涓囩倻, 甯堢邯鍗�. 2022骞存睙瑗跨渷鏋佺骞叉棻瀵规煈姗樼妞嶇粡娴庢崯澶辩殑閬ユ劅璇勪及[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 337-349.
[6]	寮犻獮鏈�, 寮犵户鐪�, 閮濇鐟�, 寮犳湀. 21涓栫邯鍒濇湡涓滃寳鍦板尯鍐滅敯鐗╁�欏姩鎬佸強鍏跺姘斿�欑殑鍝嶅簲[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2024, 39(2): 350-361.
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鍏ユ渤鎺掓薄鍙ｉ仴鎰熸帓鏌ヨ繘灞曡瘎杩�

Review on the Progress of Remote Sensing Investigation of the Outfalls into Rivers

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寮曠敤鏈枃

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