Figure/Table detail

Research on UAV Hyperspectral of Tree Species Classification based on Machine Learning Algorithms and Spatial Resolution Adjustment
Xiangshan ZHOU, Wunian YANG, Ke LUO, Hongyi PIAO, Tao ZHOU, Jie ZHOU, Xiaolu TANG
Remote Sensing Technology and Application, 2024, 39(4): 880-896.   DOI: 10.11873/j.issn.1004-0323.2024.4.0880

序号名称计算公式参考文献
1花青素反射指数1(ARI_1)(1/B49)-(1/B93)[43]
2花青素反射指数2(ARI_2)((1/B49)-(1/B93))*B121[43]
3类胡萝卜素反射指数1(CRI_1)(1/B38)-(1/B49)[43]
4类胡萝卜素反射指数2(CRI_2)(1/B38)-(1/B93)[43]
5病害水分胁迫指数(DWSI)B49/B87[44]
6增强型植被指数(EVI)2.5*(B121-B85)/(B121+6*B85-7.5*B26+1)[45]
7绿色归一化植被指数(GNDVI)(B121-B49)/(B121+B49)[46]
8归一化叶绿素指数(NDchl(B157-B95)/(B157+B95)[47]
9归一化植被指数(NDVI)(B121-B87)/(B121+B87)[48]
10光化学植被指数(PRI)(B42-B55)/(B42+B55)[49]
11植被衰减指数(PSRI)(B87-B34)/B107[50]
12植被水分指数(PWI)B149/B168[51]
13红边拐点指数(REP)700+40*(((B85+B117)/2-B93)/(B105-B93))[52]
14红边植被胁迫指数(RVSI)((B97+B107)/2)-B103[53]
15简单比值指数(SR)B121/B87[54]
16绿色植被指数(VIgreen)(B49-B87)/(B49+B87)[55]
17Vogelmann红边指数1(VOG_1)B105/B99[56]
18Vogelmann红边指数2(VOG_2)(B103-B107)/(B97+B101)[57]
19修正归一化植被指数(MNDVI)(B109-B105)/(B109+B105)[57]
20抗大气植被指数(ARVI)(B121-2*B84+B20)/(B121+2*B84-B20)[58]
21土壤调节植被指数(SAVI)(1+0.5)*(B121-B84)/(B121+B84+0.5)[59]
22优化型土壤调节植被指数(OSAVI)(1+0.16)*(B121-B84)/(B121+B84+0.16)[60]
23改进型土壤调节植被指数(MSAVI)0.5*(B121+1-sqrt((2*B121+1)^2-8*(B121-B87)))[61]
24绿色植被指数1(VIgreen_1)(B49-B84)/(B49+B84)[55]
25简单比值指数1(SR_1)B99/B84[54]
26简单比值指数2(SR_2)B141/B84[54]
27简单比值指数3(SR_3)B164/B98[54]
28植被水分指数1(PWI_1)B159/B166[51]
29植被衰减指数1(PSRI_1)(B84-B34)/B99[50]
30类胡萝卜素反射指数1_1(CRI1_1)(1/B34)-(1/B49)[44]
31类胡萝卜素反射指数2_1(CRI2_1)(1/B40)-(1/B99)[44]
32绿色归一化植被1(GNDVI_1)(B141-B49)/(B141+B49)[46]
Table 3 Calculation of hyperspectral image vegetation index
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