Yan, F.Q.[Feng-Qin],
Yu, L.X.[Ling-Xue],
Yang, C.B.[Chao-Bin],
Zhang, S.[Shuwen],
Paddy Field Expansion and Aggregation Since the Mid-1950s in a Cold
Region and Its Possible Causes,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Wagner, M.P.[Matthias P.],
Oppelt, N.[Natascha],
Deep Learning and Adaptive Graph-Based Growing Contours for
Agricultural Field Extraction,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Vlachopoulos, O.[Odysseas],
Leblon, B.[Brigitte],
Wang, J.F.[Jin-Fei],
Haddadi, A.[Ataollah],
LaRocque, A.[Armand],
Patterson, G.[Greg],
Delineation of Crop Field Areas and Boundaries from UAS Imagery Using
PBIA and GEOBIA with Random Forest Classification,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Liu, J.[Jin],
Zheng, H.[Haokun],
EFN: Field-Based Object Detection for Aerial Images,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Chang, L.[Lena],
Chen, Y.T.[Yi-Ting],
Wang, J.H.[Jung-Hua],
Chang, Y.L.[Yang-Lang],
Rice-Field Mapping with Sentinel-1A SAR Time-Series Data,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Gilcher, M.[Mario],
Udelhoven, T.[Thomas],
Field Geometry and the Spatial and Temporal Generalization of Crop
Classification Algorithms: A Randomized Approach to Compare Pixel
Based and Convolution Based Methods,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Taravat, A.[Alireza],
Wagner, M.P.[Matthias P.],
Bonifacio, R.[Rogerio],
Petit, D.[David],
Advanced Fully Convolutional Networks for Agricultural Field Boundary
Detection,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Waldner, F.[François],
Diakogiannis, F.I.[Foivos I.],
Batchelor, K.[Kathryn],
Ciccotosto-Camp, M.[Michael],
Cooper-Williams, E.[Elizabeth],
Herrmann, C.[Chris],
Mata, G.[Gonzalo],
Toovey, A.[Andrew],
Detect, Consolidate, Delineate: Scalable Mapping of Field Boundaries
Using Satellite Images,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Wen, C.[Caiyun],
Lu, M.[Miao],
Bi, Y.[Ying],
Zhang, S.N.[Sheng-Nan],
Xue, B.[Bing],
Zhang, M.J.[Meng-Jie],
Zhou, Q.[Qingbo],
Wu, W.B.[Wen-Bin],
An Object-Based Genetic Programming Approach for Cropland Field
Extraction,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Li, T.[Ting],
Johansen, K.[Kasper],
McCabe, M.F.[Matthew F.],
A machine learning approach for identifying and delineating
agricultural fields and their multi-temporal dynamics using three
decades of Landsat data,
PandRS(186), 2022, pp. 83-101.
Elsevier DOI
2203
Center-pivot field, Delineation, DBSCAN,
Convolution neural networks, Spectral clustering, Random forest
BibRef
Lu, R.[Rui],
Wang, N.[Nan],
Zhang, Y.B.[Yan-Bin],
Lin, Y.N.[Ye-Neng],
Wu, W.Q.[Wen-Qiang],
Shi, Z.[Zhou],
Extraction of Agricultural Fields via DASFNet with Dual Attention
Mechanism and Multi-scale Feature Fusion in South Xinjiang, China,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Mei, W.Y.[Wei-Ye],
Wang, H.Y.[Hao-Yu],
Fouhey, D.[David],
Zhou, W.Q.[Wei-Qi],
Hinks, I.[Isabella],
Gray, J.M.[Josh M.],
van Berkel, D.[Derek],
Jain, M.[Meha],
Using Deep Learning and Very-High-Resolution Imagery to Map
Smallholder Field Boundaries,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Wang, S.[Sherrie],
Waldner, F.[François],
Lobell, D.B.[David B.],
Unlocking Large-Scale Crop Field Delineation in Smallholder Farming
Systems with Transfer Learning and Weak Supervision,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Zhong, B.[Bo],
Wei, T.F.[Teng-Fei],
Luo, X.B.[Xiao-Bo],
Du, B.[Bailin],
Hu, L.F.[Long-Fei],
Ao, K.[Kai],
Yang, A.[Aixia],
Wu, J.J.[Jun-Jun],
Multi-Swin Mask Transformer for Instance Segmentation of Agricultural
Field Extraction,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Ge, J.[Ji],
Zhang, H.[Hong],
Xu, L.[Lu],
Sun, C.L.[Chun-Ling],
Duan, H.[Haoxuan],
Guo, Z.[Zihuan],
Wang, C.[Chao],
A Physically Interpretable Rice Field Extraction Model for PolSAR
Imagery,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Liu, X.C.[Xiang-Chen],
Shao, Y.[Yun],
Li, K.[Kun],
Liu, Z.[Zhiqu],
Liu, L.[Long],
Xiao, X.[Xiulai],
Backscattering Statistics of Indoor Full-Polarization Scatterometric
and Synthetic Aperture Radar Measurements of a Rice Field,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Wakabayashi, H.,
Motohashi, K.,
Kitagami, T.,
Tjahjono, B.,
Dewayani, S.,
Hidayat, D.,
Hongo, C.,
Flooded Area Extraction of Rice Paddy Field in Indonesia Using
Sentinel-1 Sar Data,
Environmental19(73-76).
DOI Link
1904
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Subpixel Target, Subpixel Land Use, Tiny Objects .