[1] Blaschke T. Object based image analysis for remote sensing[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 65, 2-16(2010).

[2] Blaschke T, Hay G J, Kelly M et al. Geographic object-based image analysis-towards a new paradigm science direct[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 87, 180-191(2014).

[3] Myint S W, Gober P, Brazel A et al. Per-pixel vs.object-based classification of urban land cover extraction using high spatial resolution imagery[J]. Remote Sensing of Environment, 115, 1145-1161(2011).

[4] Dronova I, Gong P, Clinton N E et al. Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods[J]. Remote Sensing of Environment, 127, 357-369(2012).

[5] Hay G J, Castilla G, Wulder M A et al. An automated object-based approach for the multiscale image segmentation of forest scenes[J]. International Journal of Applied Earth Observations and Geoinformation, 7, 339-359(2005).

[6] Liu Y, Bian L, Meng Y et al. Discrepancy measures for selecting optimal combination of parameter values in object-based image analysis[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 68, 144-156(2012).

[7] Yang J, Li P J, He Y H. A multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 94, 13-24(2014).

[8] Yang J, He Y H, Caspersen J et al. A discrepancy measure for segmentation evaluation from the perspective of object recognition[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 101, 186-192(2015).

[9] Zhang X L, Xiao P, Feng X Z F et al. Toward evaluating multiscale segmentations of high spatial resolution remote sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 53, 3694-3706(2015).

[10] Johnson B, Xie Z X. Unsupervised image segmentation evaluation and refinement using a multi-scale approach[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 66, 473-483(2011).

[11] Woodcock C E, Strahler A H. The factor of scale in remote sensing[J]. Remote Sensing of Environment, 21, 311-332(1987).

[12] Yang J, He Y H, Weng Q H. An automated method to parameterize segmentation scale by enhancing intrasegment homogeneity and intersegment heterogeneity[J]. IEEE Geoscience and Remote Sensing Letters, 12, 1282-1286(2015).

[13] Drǎguţ L, Tiede D, Levick S R. ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data[J]. International Journal of Geographical Information Science, 24, 859-871(2010).

[14] Ming D P, Li J, Wang J Y et al. Scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale segmentation as an example[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 106, 28-41(2015).

[15] Ming D P, Zhou W, Wang M. Scale parameter estimation based on the spatial and spectral statistics in high spatial resolution image segmentation[J]. Journal of Geo-Information Science, 18, 622-631(2016).

[16] Ma Y N, Ming D P, Yang H P. Scale estimation of object-oriented image analysis based on spectral-spatial statistics[J]. Journal of Remote Sensing, 21, 566-578(2017).

[17] Yang H P, Ming D P. Optimal scales based segmentation of high spatial resolution remote sensing data[J]. Journal of Geo-Information Science, 18, 632-638(2016).

[18] Xiao P F, Zhang X L, Zhang H M et al. Multiscale optimized segmentation of urban green cover in high resolution remote sensing image[J]. Remote Sensing, 10, 1813(2018).

[19] Li Q, Gao X Z, Zhang T et al. Optimal segmentation scale selection and evaluation for multi-layer image recognition and classification[J]. Journal of Geo-Information Science, 13, 409-417(2011).

[20] Hong L, Chu S S, Peng S Y et al. Multiscale segmentation-optimized algorithm for high-spatial remote sensing imagery considering global and local optimizations[J]. Journal of Remote Sensing, 24, 1464-1475(2020).