[1] Dehaan R L, Taylor G R. Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization[J]. Remote Sensing of Environment, 80, 406-417(2002).

[2] Metternicht G I, Zinck J A. Remote sensing of soil salinity: potentials and constraints[J]. Remote Sensing of Environment, 85, 1-20(2003).

[3] Grunwald S, Thompson J A, Boettinger J L. Digital soil mapping and modeling at continental scales: finding solutions for global issues[J]. Soil Science Society of America Journal, 75, 1201-1213(2011).

[4] He B Z, Ding J L, Wang F et al. Research on data mining of salinization information based on phenological characters[J]. Acta Ecologica Sinica, 37, 3133-3148(2017).

[5] Brunner P, Li H T, Kinzelbach W et al. Generating soil electrical conductivity maps at regional level by integrating measurements on the ground and remote sensing data[J]. International Journal of Remote Sensing, 28, 3341-3361(2007).

[6] Bouaziz M, Matschullat J, Gloaguen R. Improved remote sensing detection of soil salinity from a semi-arid climate in Northeast Brazil[J]. Comptes Rendus Geoscience, 343, 795-803(2011).

[7] Wang Q, Cui S C, Yang S Z. Thin cloud removal for high spatial resolution satellite images[J]. Journal of Atmospheric and Environmental Optics, 13, 285-292(2018).

[8] Pardo-Iguzquiza E. Rodríguez-Galiano V F, Chica-Olmo M, et al. Image fusion by spatially adaptive filtering using downscaling cokriging[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 66, 337-346(2011).

[9] Li G, Yang W N, Weng T. A method of removing thin cloud in remote sensing image based on the homomorphic filter algorithm[J]. Science of Surveying and Mapping, 32, 47-48, 193(2007).

[10] Lu P, Liu C, Liu W S et al. The application of the median filter in the remote sensing image processing[J]. Journal of Jilin University (Earth Science Edition), 35, 151-154(2005).

[11] Zhang X L, Zhang F, Zhang H W et al. Optimization of soil salt inversion model based on spectral transformation from hyperspectral index[J]. Transactions of the Chinese Society of Agricultural Engineering, 34, 110-117(2018).

[12] Liu D W, Abuduwaili J, Wang L X. Salt dust storm in the Ebinur Lake region: its 50-year dynamic changes and response to climate changes and human activities[J]. Natural Hazards, 77, 1069-1080(2015).

[13] Mo F R, Chu X Z, Ma X F et al. The windbreak and sand fixation function and its value assessment of landscape patterns change of Ebinur Lake Wetland[J]. Ecological Science, 36, 195-206(2017).

[14] Wang X P, Zhang F, Ding J L et al. Estimation of soil salt content (SSC) in the Ebinur Lake Wetland National Nature Reserve (ELWNNR), Northwest China, based on a Bootstrap-BP neural network model and optimal spectral indices[J]. Science of The Total Environment, 615, 918-930(2018).

[15] Yang X D, Fu D P, Yuan Y et al. Analysis on interspecific relationship of the dominant plant species in the Ebinur Lake wetland nature reserve, Xinjiang[J]. Arid Zone Research, 27, 249-256(2010).

[16] Ma Y, Qian Y B, Duan S M et al. Study on vegetation distribution and species diversity in the Ebinur Lake basin[J]. Arid Zone Research, 29, 776-783(2012).

[17] Work outline of county-level saline-alkali land improvement and utilization planning in Xinjiang[R]. Urumqi: Water Resources Department of Xinjiang Uygur Autonomous Region(2005).

[18] Huang J L, Zhen X M. An optimized method for image denoising based on edge detection[J]. Computer Simulation, 26, 260-263(2009).

[19] Yang A P, Zhao M Q, Wang H X et al. Nighttime image dehazing based on low-pass filtering and joint optimization of multi-feature[J]. Acta Optica Sinica, 38, 1010006(2018).

[20] Tian W L. Remote sense image enhancement algorithm based on filtering and sharpening[J]. Foreign Electronic Measurement Technology, 36, 13-16(2017).

[21] Liao J S, Wang L G. Hyperspectral image classification method based on fusion with two kinds of spatial information[J]. Laser & Optoelectronics Progress, 54, 081002(2017).

[22] Robotham H, Castillo J, Bosch P et al. A comparison of multi-class support vector machine and classification tree methods for hydroacoustic classification of fish-schools in Chile[J]. Fisheries research, 111, 170-176(2011).

[23] Yang Y L, Wang P, Ma C H. Quantitative analysis of Mn element in liquid steel by LIBS based on particle swarm optimized support vector machine[J]. Laser & Optoelectronics Progress, 52, 073004(2015).

[24] Cortes C, Vapnik V. Support-vector networks[J]. Machine Learning, 20, 273-297(1995).

[25] Foody G M. Status of land cover classification accuracy assessment[J]. Remote sensing of environment, 80, 185-201(2002).

[26] Cao J R, Liu W Q, Huang C et al. Analysis on dynamic variation of salinized soil in yellow river delta based on Landsat TM/ETM image[J]. Bulletin of Soil and Water Conservation, 34, 179-183, 371(2014).