Remote Sensing Technology and Application, Volume. 39, Issue 1, 24(2024)
Forest Change Detection based on Siamese Neural Network with GF-2 Image: A Case of Jiande Forest Farm, Zhejiang
[2] Ping YANG. Analysis and suggestions on the present situation of forest land resources management in China:Taking the northwest forest resources monitoring area as an example. Forest Resources Management, 1-7(2000).
[3] Fan WANG. Research on forest land dynamic change detection algorithm within high spatial resolution images of remote sensing(2021).
[4] Bo PANG, Yingkun DU, Xiao ZHANG. Comparative analysis with the method of detecting the changes of forests resources based on tm image: A case of Yichun. Beijing Surveying and Mapping, 32, 604-609(2018).
[5] Hang ZHANG, Bo ZHONG, Youtang HONG et al. Dynamic monitoring of rare earths mining area in Ganzhou during recent 20 years based on remote sensing. Remote Sensing Technology and Application, 30, 376-382(2015).
[6] Chunbo HUANG, Yuanyong DIAN, Zhixiang ZHOU et al. Forest change detection based on time series images with statistical properties. Journal of Remote Sensing, 19, 657-668(2015).
[7] K TAN, J XIAO, A PLAZA et al. Automatic change detection in high-resolution remote sensing images by using a multiple classifier system and spectral-spatial features. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 9, 3439-3451(2016).
[8] Qinyu ZHANG. Research on forest land change detection based on GF-2 image in Zhangshanying town, Yanqing district(2020).
[9] B DESCLÉE, P BOGAERT, P DEFOURNY. Forest change detection by statistical object-based method. Remote Sensing of Environment, 102, 1-11(2006).
[10] Haigang SUI, Wenqing FENG, Wenzhuo LI et al. Review of change detection methods for multi-temporal remote sensing imagery. Geomatics and Information Science of Wuhan University, 43, 1885-1898(2018).
[11] R C DAUDT, B LE Saux, A BOULCH. Fully convolutional siamese networks for change detection, 4063-4067(2018).
[12] J JIANG, J XIANG, E YAN et al. Forest-CD: Forest change detection network based on VHR images. IEEE Geoscience and Remote Sensing Letters, 19, 1-5(2022).
[13] Fei CAI, Aili CHEN, Qichang CHEN. Study on the structure and dynamics of populations of Cyclobalanopsis glauca in Jiande county,Zhejiang province. Forest Research, 102-109(1998).
[14] Chuping WU, Weigao YUAN, Weixing SHENG et al. Spatial distribution patterns and associations of tree species in typical natural secondary forest communities in Zhejiang province. Acta Ecologica Sinica, 38, 537-549(2018).
[15] Ying GUO, Zengyuan LI, Erxue CHEN et al. A deep learning method for forest fine classification based on high resolution remote sensing images: Two-BranchFCN-8s. Scientia Silvae Sinicae, 56, 48-60(2020).
[16] PRC Standardization Administration of(2020).
[17] Guangwei SHENG. Forest change detection based on direction-first change vector analysis(2020).
[18] K HE, X ZHANG, S REN et al. Deep residual learning for image recognition, 770-778(2016).
[19] J PARK, J Y LEE et al. CBAM: Convolutional block attention module, 3-19(2018).
[20] Zhengfeng JIANG, Tao HE, Yanling SHI et al. Remote sensing image classification based on convolutional block attentat module and deep residual network. Laser Journal, 43, 76-81(2022).
[21] J HU, L SHEN, G SUN. Squeeze-and-excitation networks, 7132-7141(2018).
[22] Xiaokun MIAO. Research on tunnel surface structure defects recognition based on convolutional neural network(2020).
[23] J BROMLEY, J W BENTZ, L BOTTOU et al. Signature verification using a “Siamese” time delay neural network. International Journal of Pattern Recognition and Artificial Intelligence, 7, 669-688(1993).
[24] Kailin ZHANG, Qing YAN, Yi XIA et al. Semi-supervised hyperspectral image classification based on Focal Loss. Journal of Computer Applications, 40, 1030-1037(2020).
Get Citation
Copy Citation Text
Qiuyi AI, Huaguo HUANG, Ying GUO, Bingjie LIU, Shuxin CHEN, Xin TIAN. Forest Change Detection based on Siamese Neural Network with GF-2 Image: A Case of Jiande Forest Farm, Zhejiang[J]. Remote Sensing Technology and Application, 2024, 39(1): 24
Category: Research Articles
Received: Oct. 28, 2022
Accepted: --
Published Online: Jul. 22, 2024
The Author Email: AI Qiuyi (867492742@qq.com)