閬ユ劅鎶�鏈笌搴旂敤 鈥衡�� 2013, Vol. 28 鈥衡�� Issue (1): 78-84.DOI: 10.11873/j.issn.1004-0323.2013.1.78

鈥� 鍥惧儚涓庢暟鎹鐞� 鈥� 涓婁竴绡�    涓嬩竴绡�

鍩轰簬PCA涓嶩IS妯″瀷鐨勯珮鍒嗚鲸鐜囬仴鎰熷奖鍍忛槾褰辨娴嬬爺绌�

鍒� 杈�,璋㈠ぉ鏂�   

  1. (绂忓窞澶у鐜涓庤祫婧愬闄�,绂忓缓 绂忓窞 350002)
  • 鏀剁鏃ユ湡:2012-04-23 淇洖鏃ユ湡:2012-06-14 鍑虹増鏃ユ湡:2013-02-20 鍙戝竷鏃ユ湡:2013-06-21
  • 浣滆�呯畝浠�:鍒樿緣锛�1981-锛�,鐢�,瀹夊窘鍏畨浜�,璁插笀,鍗氬+,涓昏浠庝簨鍦熷湴鍒╃敤瑙勫垝鍜屽湡鍦颁俊鎭妧鏈爺绌躲�侲mail:liuhui_fzu@163.com銆�
  • 鍩洪噾璧勫姪:

    绂忓缓鐪佽嚜鐒剁瀛﹀熀閲戦」鐩�(2011J05109),绂忓窞澶у绉戞妧鍙戝睍鍩洪噾(2010-XY-10(0060-600116))銆�

Study on Shadow Detection in High Resolution Remote Sensing Image of PCA and HIS Model

Liu Hui,Xie Tianwen   

  1. (College of Environment and Resources,Fuzhou University,Fuzhou 350002,China)
  • Received:2012-04-23 Revised:2012-06-14 Online:2013-02-20 Published:2013-06-21

鎽樿锛�

鏍规嵁楂樺垎杈ㄧ巼閬ユ劅褰卞儚闃村奖鍖哄煙鐨勬�ц川,鍩轰簬涓绘垚鍒嗗彉鎹㈠拰HIS妯″瀷,鎻愬嚭涓�绉嶆娴嬮槾褰辩殑闃村奖鎸囨暟SI(Shadow Index)銆傞�夊彇涓や釜璇曢獙鍖�,鍒嗗埆閲囩敤Polidorio绠楁硶銆佸綊涓�鍖栭槾褰辨寚鏁�(NDUI)鍜孲I杩涜闃村奖妫�娴嬪拰姣旇緝鍒嗘瀽,缁撴灉琛ㄦ槑SI鑳藉鏈夋晥鍦板尯鍒嗛槾褰卞尯鍩熶笌姘翠綋鍜屽亸钃濊壊鍦扮墿銆傛彁鍙�3绉嶇畻娉曠殑鐩存柟鍥惧緱鍑�,SI鍥惧儚鐨勭洿鏂瑰浘鍏锋湁涓や釜娉㈠嘲涓�涓尝璋峰舰鐘�,鑳藉鏇村ソ鍦伴噰鐢ㄧ洿鏂瑰浘闃堝�兼硶鍒嗗壊闃村奖鍖哄拰闈為槾褰卞尯銆傚疄楠岃〃鏄庤鏂规硶绠�鍗曟湁鏁堛��

鍏抽敭璇�: 楂樺垎杈ㄧ巼閬ユ劅褰卞儚, 涓绘垚鍒嗗彉鎹�, HIS妯″瀷, 闃村奖妫�娴�

Abstract:

According to the Shadow characteristic in high resolution remote sensing image,a new Shadow Index (Shadow Index,SI) on Shadow detection is proposed based on principal component transformation and HIS model.Polidorio algorithm,NDUI and SI were used in 2 test areas,and the results showed that the SI can effectively distinguish shadow region with water and partial blue objects.The histogram of three algorithm shows that SI histogram shaped two wave peaks and a wave trough,which is helpful for the histogram threshold value method that divided the area into the shadow area and none shadow area.The experimental results indicate that the new shadow index is simple and effective.

Key words: High resolution remote sensing image, PCA, HIS model, Shadow detection

涓浘鍒嗙被鍙�: