<br />
基于遥感影像构建大运河沿线土地利用数据库

doi:10.11873/j.issn.1004-0323.2009.2.192

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2009, Vol. 24 鈥衡�� Issue (2): 192-196.DOI: 10.11873/j.issn.1004-0323.2009.2.192

鈥� 鎶�鏈爺绌朵笌鍥惧儚澶勭悊鈥� 涓婁竴绡� 涓嬩竴绡�

鍩轰簬閬ユ劅褰卞儚鏋勫缓澶ц繍娌虫部绾垮湡鍦板埄鐢ㄦ暟鎹簱

鏋楀浗娣�^1,2,鐜嬮暱鏋�^1,3鑱傝穬骞�^1,2,鎴愬紙顎�⁴

(1.涓浗绉戝闄€�佹暀鑲查儴銆佸浗瀹舵枃鐗╁眬閬ユ劅鑰冨彜鑱斿悎瀹為獙瀹�,鍖椾含銆�100101锛涱��
2.涓浗绉戝闄㈤仴鎰熷簲鐢ㄧ爺绌舵墍,鍖椾含銆�100101锛�3.涓浗绉戝闄㈠鍦拌娴嬩笌顎�
鏁板瓧鍦扮悆绉戝涓績,鍖椾含銆�100190锛�4.鍖椾含甯堣寖澶у鍦扮悊瀛︿笌閬ユ劅绉戝瀛﹂櫌,鍖椾含銆�100875)

鏀剁鏃ユ湡:2008-09-02 淇洖鏃ユ湡:2009-03-08 鍑虹増鏃ユ湡:2009-04-20 鍙戝竷鏃ユ湡:2012-02-29
浣滆�呯畝浠�:鏋楀浗娣伙紙1983-锛�,鐢�,纭曞＋鐮旂┒鐢�,涓昏浠庝簨閬ユ劅鑰冨彜鏂归潰鐨勭爺绌跺伐浣溿�侲-mail:jone1017@163.com銆�
鍩洪噾璧勫姪:
“鍗佷竴浜�”鍥藉绉戞妧鏀拺璁″垝椤圭洰“澶ч仐鍧�淇濇姢鍏抽敭鎶�鏈爺绌朵笌寮�鍙�”瀛愯棰�“绌洪棿淇℃伅鎶�鏈湪澶ч仐鍧�淇濇姢涓殑搴旂敤鐮旂┒(浠ヤ含鏉ぇ杩愭渤涓轰緥)”(2006BAK30B01)璧勫姪銆�

Study on the Construction of Land Use Database of |Grand Canal Based on Remote Sensing Images

LIN Guo-tian ^1,2,WANG Chang-lin顎�^1,3,NIE Yue-ping^1,2,CHENG Yi ⁴

(1.Joint Laboratory of Remote Sensing Archaeology,Beijing 100101,China;顎�
2.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;顎�3.Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100190,China;顎�4.College of Geography and Remote Sensing Sciences,Beijing Normal University,Beijing 100875,China)

Received:2008-09-02 Revised:2009-03-08 Online:2009-04-20 Published:2012-02-29

鎽樿/Abstract

鎽樿锛�

鍦ㄤ含鏉ぇ杩愭渤鐨勫奖鍍忔暟鎹簱鍩虹涔嬩笂,浠POT5褰卞儚涓轰富瑕佹暟鎹�,棣栧厛,杩涜鍥惧儚澶勭悊濡傚嚑浣曠籂姝ｃ�佸浘鍍忚瀺鍚堛�佸浘鍍忛暥宓岋紱鐒跺悗鍒嗗湴鍖哄缓绔嬩笉鍚岀被鍨嬬殑褰卞儚瑙ｈ瘧鏍囧織搴擄紱鍦ㄦ鍩虹涓婅繘琛屼汉鏈轰氦浜掕В璇戯紱瑙ｈ瘧瀹屼箣鍚庤繘琛岀煝閲忓寲鍚庡鐞�,妫�鏌ユ暟鎹殑璐ㄩ噺,鎺ョ潃鎵ц鍥惧眰鎷兼帴涓庢帴杈瑰鐞嗙殑鎿嶄綔,鏈�鍚庡埄鐢ˋrcCatalog宸ュ叿瀹屾垚鏁版嵁鐨勫叆搴�,鏋勫缓浜澀澶ц繍娌虫部绾�2 km鑼冨洿鍐�1鈭�5涓囩簿搴︾殑鍦熷湴鍒╃敤鏁版嵁搴撱�傜粨鏋滄樉绀�,閲囩敤涓婅堪鎶�鏈矾绾胯繘琛屾暟鎹簱鐨勫缓璁炬槸琛屼箣鏈夋晥鐨�,瀹冨叿鏈夊懆鏈熺煭銆佹晥鐜囬珮銆佸噯纭瓑鐗圭偣銆�

鍏抽敭璇�: 浜澀澶ц繍娌�, 褰卞儚鏁版嵁搴�, SPOT5, 鍦熷湴鍒╃敤鏁版嵁搴�

Abstract:

Based on the image database of Grand canal,taking spot5 image as the main data,First,image processing such as geometric correction,image fusion,image mosaics is carried out; then different types of image signs in different regions are established; On this basis interactive interpretation is executed; After that the post-processing of vector data and quality inspection are expected; And if there is no problem with the data,stitching layers and edge treatment should be treated.Finally,the land use database of the grand canal within two kilometers is constructed at the scale 1鈭�50000 by importing all the data with ArcCatalog.The result shows that it's effective to construct the land use database using the technology route shown above.It has a series of characteristics such as short cycle,high efficiency,accuracy and so on.

Key words: Grand canal, Image database, SPOT5, Land use database

涓浘鍒嗙被鍙�:

TP 79

鏋楀浗娣�,鐜嬮暱鏋�,鑱傝穬骞�,鎴愬紙.
鍩轰簬閬ユ劅褰卞儚鏋勫缓澶ц繍娌虫部绾垮湡鍦板埄鐢ㄦ暟鎹簱[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2009, 24(2): 192-196.

LIN Guo-tian,WANG Chang-lin,NIE Yue-ping,CHENG Yi. Study on the Construction of Land Use Database of |Grand Canal Based on Remote Sensing Images[J]. Remote Sensing Technology and Application, 2009, 24(2): 192-196.

鍙傝�冩枃鐚�

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[1]	鑳¤崳鏄�,榄� 鏇�,鏉ㄦ垚鏂�,璐轰繆鏂�. 浠POT5閬ユ劅鏁版嵁涓轰緥姣旇緝鍩轰簬鍍忕礌涓庨潰鍚戝璞＄殑鍒嗙被鏂规硶顎�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2012, 27(3): 366-371.
[2]	闄堢嚂涓�,鑾紵鍗�,鑾缓椋�,鐜嬪悰鍗�,閽熶粫鍏�. 鍩轰簬闈㈠悜瀵硅薄鍒嗙被鐨勫崡鏂规按绋荤妞嶉潰绉彁鍙栨柟娉�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2011, 26(2): 163-168.
[3]	寮犲叴浣�, 鍒樺媷, 璁稿疂鑽�, 钂嬪織鍕�, 鐜嬫檽鐕�, 鐜嬫�濈淮, 璁告皯, 鏉ㄧ孩鍗�. 涔屽叞甯冨拰娌欐紶楂樺垎杈ㄧ巼閬ユ劅褰卞儚姊鏋楄В璇戞柟娉曟帰璁�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2010, 25(6): 828-835.
[4]	鐜嬬孩宀�,楂樺織娴�,鐜嬬惈鐟�,鏉庝笘鏄�,鐧介粠濞�. 鍩轰簬SPOT5閬ユ劅褰卞儚涓板畞鍘挎琚湴涓婄敓鐗╅噺浼版祴鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2010, 25(5): 639-646.
[5]	鍛� 鍒�, 璁稿痉浼�, 鏉ㄧ嚂鏄�, 鍒樿礊鏂�, 鍌呬笘閿�. 鍩轰簬IDL璇█涓庢帶鍒剁偣褰卞儚鏁版嵁搴撶殑鍥惧儚鑷姩閰嶅噯鎶�鏈爺绌�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2010, 25(5): 627-631.
[6]	鑳¤暰绉�, 鍒樹簹宀�, 浠荤帀鐜�, 闄堟缇�, 榄忔垚闃�. SPOT5澶氬厜璋卞浘鍍忓鍗楁矙鐝婄憵绀佷俊鎭彁鍙栨柟娉曠殑鎺㈣[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2010, 25(4): 493-501.
[7]	鏉ㄤ附钀�,鏋楀箍鍙�,闄堝弸椋�. 涓嶅悓瀛ｇ浉SPOT5褰卞儚闀跺祵鍓嶈壊璋冨鐞嗘柟娉曠爺绌�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2009, 24(2): 140-145.
[8]	钖涙尟灞�,鏉ㄦ檽姊�,鑻忓鎸�,瀛欐檽瀹�. CBERS-02涓嶴POT5铻嶅悎鏁版嵁鍙婂叾鍦ㄦ捣宀稿甫鍦熷湴鍒╃敤璋冩煡涓簲鐢ㄨ兘鍔涚患鍚堣瘎浠�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2009, 24(1): 97-102.
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[10]	鏉庣帀鍑�,鐜嬨��娉�,鏉庡皬鏄�. 鍩轰簬SPOT5褰卞儚鐨勫北涓滃崡鍥涙箹鍦拌瑕嗙洊鍒嗙被鐮旂┒[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2008, 23(1): 62-66.
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[12]	鏇瑰缓鍚�,鑻楀ぉ瀹�,钄″枩鐞�,娈点��鍏�,鑾啗鍑�. SPOT5鍗槦褰卞儚鍦ㄩ��鑰曠簿纭洃娴嬩腑鐨勫簲鐢ㄧ爺绌�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2004, 19(5): 312-314.
[13]	鏉ㄦ枃杞�,寮犳绂�,鑳＄嚂鍑�. SPOT5鍦ㄥ湡鍦板埄鐢ㄤ俊鎭郴缁熸洿鏂颁腑鐨勫簲鐢�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2004, 19(5): 307-311.
[14]	妤肩珛鏄�,鍒樺崼涓�,鍐涓�. 鍩轰簬楂樺垎杈ㄧ巼閬ユ劅褰卞儚鐨勫湡鍦板埄鐢ㄥ彉鍖栫洃娴�[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2004, 19(1): 30-33.

鍩轰簬閬ユ劅褰卞儚鏋勫缓澶ц繍娌虫部绾垮湡鍦板埄鐢ㄦ暟鎹簱

Study on the Construction of Land Use Database of |Grand Canal Based on Remote Sensing Images

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鎽樿/Abstract

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