²Î¿¼ÎÄÏ×/References:
[1] ÐìÑÞϼ.µØ·½ÌØÉ«Å©Òµ²úÒµ»¯·¢Õ¹ÎÊÌâÑо¿[J].È«¹úÉÌÇé, 2016(22):50-51.
[2] ÀîÎÄ»ª,Áõij³Ð,ãÉÇìÎÄ.ÖйúÉú̬ũҵµÄ·¢Õ¹ÓëÕ¹Íû[J].×ÊÔ´¿Æѧ,2010,32(6):1015-1021.
[3] Yuan Huili,Luo Juhua,Ma Ronghua.Mapping orchards on plain terrains using multi-temporal medium-resolution satellite imagery[J].Applied Engineering in Agriculture,2015,31(3):351-362.
[4] Reis S,Ta ÿðþ ‰D demir K.Identification of hazelnut fields using spectral and Gabor textural features[J].Isprs Journal of Photogrammetry and Remote Sensing,2011,66(5):652-661.
[5] Wang Hong,Zhao Yu,Pu Ruiliang,et al.Mapping Robinia Pseudoacacia forest health conditions by using combined spectral, spatial, and textural information extracted from IKONOS imagery and random forest classifier[J].Remote Sensing,2015,7(7):9020-9044.
[6] Ma Lei,Cheng Liang,Han Wenquan,et al.Cultivated land information extraction from high-resolution unmanned aerial vehicle imagery data[J].Journal of Applied Remote Sensing,2014,8:1-25.
[7] ÁºÊØÕæ,³Â¾¢ËÉ,Îâ±þ·½,µÈ.Ó¦ÓÃÃæÏò¶ÔÏóµÄ¾ö²ßÊ÷Ä£ÐÍÌáÈ¡Ïð½ºÁÖÐÅÏ¢[J].Ò£¸Ðѧ±¨,2015,19(3):485-494.
[8] Otukei J R,Blaschke T,Woldai T,et al.Land cover change assessment using decision trees,support vector machines and maximum likelihood classification algorithms[J].International Journal of Applied Earth Observation and Geoinformation,2010,12(1):27-31.
[9] Chakraborty A,Sachdeva K,Joshi P K.Mapping long-term land use and land cover change in the central Himalayan region using a tree-based ensemble classification approach[J].Applied Geography,2016,74:136-150.
[10] ÕÅ°²¶¨,ÅíóÆÃ÷,ÀîµÂÒ»,µÈ.»ùÓÚTMÓ°ÏñµÄ¹ûÔ°¿Õ¼äÐÅÏ¢ÌáÈ¡¼¼ÊõÑо¿[J].²â»æ¿Æѧ,2007,32(5):121-123.
[11] ÓÚÐÂÑó,ÕÅ°²¶¨,ºîÎ÷ÓÂ.½º¶«°ëµº¹ûÔ°TMÓ°ÏñÐÅÏ¢µÄÌáÈ¡¾ö²ßÊ÷·½·¨[J].²â»æ¿Æѧ,2012,37(4):57-60.
[12] ÂÞÎÀ,¿öÈóÔª.ÀûÓû·¾³ÎÀÐÇÓ°ÏñµÄ¶«½Ô´µØÇø¹ûÔ°ÐÅÏ¢ÌáÈ¡[J].²â»æ¿Æѧ,2014,39(8):135-139.
[13] Diao Chunyuan,Wang Le.Incorporating plant phenological trajectory in exotic saltcedar detection with monthly time series of Landsat imagery[J].Remote Sensing of Environment,2016,182:60-71.
[14] Belgiu M,Dr¨£gu ÿðþ ‰F L.Random forest in remote sensing:a review of applications and future directions[J].Isprs Journal of Photogrammetry and Remote Sensing,2016,114:24-31.
[15] Tatsumi K,Yamashiki Y,Torres M A C,et al.Crop classification of upland fields using random forest of time-series Landsat 7 ETM+data[J].Computers and Electronics in Agriculture,2015,115:171-179.
[16] ¹Ëº£Ñà,ãÆÀû,ÀÌÎ,µÈ.»ùÓÚËæ»úÉÁֵĵØÀíÒªËØÃæÏò¶ÔÏó×Ô¶¯½âÒë·½·¨[J].Î人´óѧѧ±¨:ÐÅÏ¢¿Æѧ°æ,2016,41(2):228-234.
[17] ËïÓÀÃ÷,Ò¶´¨,ÍõѧÐÛ,µÈ.¸ÓÄÏÆê³È¹ûÔ°Ë®ÍÁÁ÷ʧÏÖ×´µ÷²é·ÖÎö[J].Ë®ÍÁ±£³ÖÑо¿,2014,21(2):67-71.
[18] Rouse J W.Monitoring the vernal advancement and retrogradation(greenwave effect)of natural vegetation[M].College Station:Texas A M University,1974.
[19] Liu Huiqing,Huete A.A feedback based modification of the NDVI to minimize canopy background and atmospheric noise[J].IEEE Transactions on Geoscience and Remote Sensing,1995,33(2):457-465.
[20] Wilson E H,Sader S A.Detection of forest harvest type using multiple dates of Landsat TM imagery[J].Remote Sensing of Environment,2002,80(3):385-396.
[21] Gao B C.NDWI:a normalized difference water index for remote sensing of vegetation liquid water from space[J].Remote Sensing of Environment,1996,58(3):257-266.
[22] Henebry G M,Rieck D R.Applying principal components analysis to image time series:effects on scene segmentation and spatial structure[J].Remote Sensing for a Sustainable Future,1996,1(1):448-450.
[23] Haralick R M,Shanmugam K,Dinstein I H.Texture features for image classification[J].IEEE Transactions on Systems Man and Cybernetics,1973,3(6):610-621.
[24] ÅíÑà,ºÎ¹ú½ð,ÕÅÕ×Ã÷,µÈ.¸ÓÄÏÏ¡ÍÁ¿ó¿ª·¢ÇøÉú̬»·¾³Ò£¸Ð¶¯Ì¬¼à²âÓëÆÀ¹À[J].Éú̬ѧ±¨,2016,36(6):1676-1685.
[25] Breiman L.Random forests[J].Machine Learning,2001,45(1):5-32.
[26] Âí«h,½ªçù¸Õ,ÃÏÖιú,µÈ.»ùÓÚËæ»úÉÁÖËã·¨µÄÅ©¸ûÇøÍÁµØÀûÓ÷ÖÀàÑо¿[J].Å©Òµ»úеѧ±¨,2016,47(1):297-303.
[27] Waske B,Sebastian V D L,Oldenburg C,et al.Image RF-A user-oriented implementation for remote sensing image analysis with Random Forests[J].Environmental Modelling and Software,2012,35:192-193.
[28] Àî×Ôï,ÖÓ°ËÁ«,Ëï½£±ó.¸ÓÄÏÆê³È²úÒµ·¢Õ¹±¨¸æ(2013)[M].±±¾©:¾¼Ã¹ÜÀí³ö°æÉç,2014.