[1] X LIU, C ZHAO, W SONG. Review of the evolution of cultiva-ted land protection policies in the period following China’s reform and liberalization. Land Use Policy, 67, 660-669(2017).

[2] Min JIANG, Xiubin LI, Liangjie XIN et al. The impact of paddy rice multiple cropping index changes in Southern China on national grain production capacity and its policy implications. Acta Geographica Sinica, 74, 32-43(2019).

[3] Yikun LI, Yang YANG, Sshuwen YANG et al. A change vector analysis in posterior probability space combined with fuzzy C-means clustering and a Bayesian network. Remote Sensing for Natural Resources, 33, 82-88(2021).

[4] Jing SONG. The study focuses on the method of semantic segmentation for high spatial resolution remote sensing images(2018).

[5] Qiqi ZHU, Zhen LI, Yanan ZHANG et al. Global-Local-Aware conditional random fields based building extraction for high spatial resolution remote sensing images. National Remote Sensing Bulletin, 25, 1422-1433(2021).

[6] Ji KONG, Quansen SUN. Object detection of remote sensing image based on AIDH and CRF. Journal of Data Acquisition and Processing, 36, 769-778(2021).

[7] Mengchen ZHAO, K ALIMUJIANG. Crop classification and suitability evaluation based on Sentinel-2 remote sensing image. Journal of Southwest University（Natural Science Edition）, 45, 176-185(2023).

[8] Xiufang ZHU, Ziyi YANG, Yaozhong PAN et al. Applying crops yield index in Heilongjiang Province of China. Transactions of the Chinese Society of Agricultural Engineering, 39, 151-161(2023).

[9] Jie JIANG, Quanzhou YU, Zhenguo NIU et al. Remote sensing extraction of photomontage crispus in Nansi Lake based on Sentinel-2. Remote Sensing Technology and Application, 38, 1192-1202(2023).

[10] Zhengyun ZHANG, Wenyuan JIANG, Yanmin ZHANG et al. Research on rice area extraction based on Sentinel SAR data and multi-spectral data. Journal of Ecology and Rural Environment, 39, 556-564(2023).

[11] Xiaojia ZHOU. Application research on remote sensing monitoring of cultivated land abandoned in hilly area, 36, 235-241(2024).

[12] Yi YAN, Chao DENG, Lin LI et al. Survey of image semantic segmentation methods in the deep learning era. Journal of Image and Graphics, 28, 3342-3362(2023).

[13] Tingyu LU. Research on fine classification of crop in remote sensing image based on deep learning(2023).

[14] Jian ZUO, Kaiwen ZHONG, Jianhui XU, et al. Analysis on early rice distribution and spatio-temporal changes based on mult-temporal SAR data in Lingnan. Science of Surveying and Mapping, 48, 91-99(2023).

[15] Xiaohan HUANG, Wenlong HUANG. Research on rice extraction from multi-temporal remote sensing images based on deep learning. Geospatial Information, 21, 61-64，113(2023).

[16] Hongrui REN, Yueqi ZHANG, Qijin HE et al. Extraction of paddy rice planting area based on multi-temporal FY-3 MERSI remote sensing images. Spectroscopy and Spectral Analysis, 43, 1606-1611(2023).

[17] Yudi GUO, Gen LI, Chun LI et al. Rice planting area monitoring based on multi-temporal Synthetic Aperture Radar（SAR） data. Jiangsu Journal of Agriculture Sciences, 39, 1179-1188(2023).

[18] L C CHEN, Y ZHU, G PAPANDREOU et al. Encoder-decoder with Atrous Separable Convolution for Semantic Image Segmentation, 801-818(2018).

[19] Shuang ZHAO. Precise mapping and spatio-temporal analysis of paddy rice area in complex surface landscapes(2018).

[20] Menru ZHANG. Identification of rice growth period using TCN-LSTM deep learning model based on satellite remote sensing data(2022).

[21] Jinqi WEI. Identification of rice growth stage based on fractal dimension and deep learning(2023).

[22] Youliang YU. Research on intelligent recognition method of rice based on high resolution remote sensing image(2021).

[23] Yan CUI. Research on rice seed image classification algorithm based on deep learning(2020).

[24] Yang DING. Research on automatic extraction method of lodging area of rice and wheat in multiple scenes(2021).

[25] Chuan YAN. Research on improving U-Net for multi-spectral remote sensing image classification method(2023).

[26] Jiaju LI. Research on classification method of hyper-spectral image based on CNN and Transformer hybrid architecture(2022).

[27] Xiangwu DENG, Song LIANG, Long QI, et al. + model. Journal of Chinese Agricultural Mechanization, 44, 174-180(2023).