Citations (42)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (8)
Saman Ghaffarian & Mustafa Turker. (2019) An improved cluster-based snake model for automatic agricultural field boundary extraction from high spatial resolution imagery. International Journal of Remote Sensing 40:4, pages 1217-1247.
Read now
Read now
Suyadi, Jay Gao, Carolyn J. Lundquist & Luitgard Schwendenmann. (2018) Sources of uncertainty in mapping temperate mangroves and their minimization using innovative methods. International Journal of Remote Sensing 39:1, pages 17-36.
Read now
Read now
Michael J. Falkowski & Jeffrey A. Manning. (2010) Parcel-based classification of agricultural crops via multitemporal Landsat imagery for monitoring habitat availability of western burrowing owls in the Imperial Valley agro-ecosystem. Canadian Journal of Remote Sensing 36:6, pages 750-762.
Read now
Read now
P. Serra & X. Pons. (2008) Monitoring farmers' decisions on Mediterranean irrigated crops using satellite image time series. International Journal of Remote Sensing 29:8, pages 2293-2316.
Read now
Read now
Ali Asghar Alesheikh & Fariba Sadeghi Naeeni Fard. (2007) Design and implementation of a knowledge-based system to improve maximum likelihood classification accuracy. Canadian Journal of Remote Sensing 33:6, pages 459-467.
Read now
Read now
. (2007) Full Issue in PDF / Numéro complet enform PDF. Canadian Journal of Remote Sensing 33:6, pages i-C-3.
Read now
Read now
D. Raclot, F. Colin & C. Puech. (2005) Updating land cover classification using a rule‐based decision system. International Journal of Remote Sensing 26:7, pages 1309-1321.
Read now
Read now
A. FOLLY, M. C. BRONSVELD & M. CLAVAUX. (1996) A knowledge-based approach for C-factor mapping in Spain using Landsat TM and GIS. International Journal of Remote Sensing 17:12, pages 2401-2415.
Read now
Read now
Articles from other publishers (34)
Madhusmita Sahu & Rasmita Dash. (2024) Cognitive land cover mapping: A three-layer deep learning architecture for remote sensing data classification. Environmental Challenges 15, pages 100876.
Crossref
Crossref
Monika Kumari & Ajay Kaul. (2023) Deep learning techniques for remote sensing image scene classification: A comprehensive review, current challenges, and future directions. Concurrency and Computation: Practice and Experience 35:22.
Crossref
Crossref
Aakash Thapa, Teerayut Horanont, Bipul Neupane & Jagannath Aryal. (2023) Deep Learning for Remote Sensing Image Scene Classification: A Review and Meta-Analysis. Remote Sensing 15:19, pages 4804.
Crossref
Crossref
Lu Xu, Dongping Ming, Liang Zhang, Dehui Dong, Yuanzhao Qing, Jianyu Yang & Chenghu Zhou. (2023) Parcel level staple crop type identification based on newly defined red-edge vegetation indices and ORNN. Computers and Electronics in Agriculture 211, pages 108012.
Crossref
Crossref
Kanika Singh, Ignacio Fuentes, Dhahi Al-Shammari, Chris Fidelis, James Butubu, David Yinil, Amin Sharififar, Budiman Minasny, David I Guest & Damien J Field. (2023) E-Agriculture Planning Tool for Supporting Smallholder Cocoa Intensification Using Remotely Sensed Data. Remote Sensing 15:14, pages 3492.
Crossref
Crossref
Ognjen Antonijević, Slobodan Jelić, Branislav Bajat & Milan Kilibarda. (2023) Transfer learning approach based on satellite image time series for the crop classification problem. Journal of Big Data 10:1.
Crossref
Crossref
Muhammad Ibraheem Siddiqui, Khurram Khan, Adnan Fazil & Muhammad Zakwan. (2023) Snapshot ensemble-based residual network (SnapEnsemResNet) for remote sensing image scene classification. GeoInformatica 27:2, pages 341-372.
Crossref
Crossref
Xuying Wang, Lei Shu, Ru Han, Fan Yang, Timothy Gordon, Xiaochan Wang & Hongyu Xu. (2023) A Survey of Farmland Boundary Extraction Technology Based on Remote Sensing Images. Electronics 12:5, pages 1156.
Crossref
Crossref
Xiangyu Wang, Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yifeng Guan, Xingyu Wu, Xiren Zhou & Huanhuan Chen. (2023) Accurate Label Refinement From Multiannotator of Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-13.
Crossref
Crossref
Yuanzhen Shuai, QiAo Yuan & Shanshan Zhao. (2022) A Spatial-Channel Attention-Based Convolutional Neural Network for Remote Sensing Image Classification. A Spatial-Channel Attention-Based Convolutional Neural Network for Remote Sensing Image Classification.
Ozlem Sen & Hacer Yalim Keles. (2022) A Hierarchical Approach to Remote Sensing Scene Classification. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science 90:2, pages 161-175.
Crossref
Crossref
Saurabh Kumar, Biplab Banerjee & Subhasis Chaudhuri. (2021) Improved Landcover Classification using Online Spectral Data Hallucination. Neurocomputing 439, pages 316-326.
Crossref
Crossref
Jianfei Yang, Hailin Chen, Yuecong Xu, Ziji Shi, Ruikang Luo, Lihua Xie & Rong Su. (2020) Domain Adaptation for Degraded Remote Scene Classification. Domain Adaptation for Degraded Remote Scene Classification.
Gong Cheng, Xingxing Xie, Junwei Han, Lei Guo & Gui-Song Xia. (2020) Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, pages 3735-3756.
Crossref
Crossref
P. Deepan & L.R. Sudha. 2020. The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems. The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems
107
120
.
Uddin, Matin & Meyer. (2019) Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh. Remote Sensing 11:13, pages 1581.
Crossref
Crossref
Xin Zhang, Yongcheng Wang, Ning Zhang, Dongdong Xu & Bo Chen. (2019) Research on Scene Classification Method of High-Resolution Remote Sensing Images Based on RFPNet. Applied Sciences 9:10, pages 2028.
Crossref
Crossref
Fernando Sedano, Vasco Molini & M. Azad. (2019) A Mapping Framework to Characterize Land Use in the Sudan-Sahel Region from Dense Stacks of Landsat Data. Remote Sensing 11:6, pages 648.
Crossref
Crossref
Wei Han, Ruyi Feng, Lizhe Wang & Yafan Cheng. (2018) A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification. ISPRS Journal of Photogrammetry and Remote Sensing 145, pages 23-43.
Crossref
Crossref
Kristof Van Tricht, Anne Gobin, Sven Gilliams & Isabelle Piccard. (2018) Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium. Remote Sensing 10:10, pages 1642.
Crossref
Crossref
S. Mangiarotti, A.K. Sharma, S. Corgne, L. Hubert-Moy, L. Ruiz, M. Sekhar & Y. Kerr. (2018) Can the global modeling technique be used for crop classification?. Chaos, Solitons & Fractals 106, pages 363-378.
Crossref
Crossref
Gong Cheng, Junwei Han & Xiaoqiang Lu. (2017) Remote Sensing Image Scene Classification: Benchmark and State of the Art. Proceedings of the IEEE 105:10, pages 1865-1883.
Crossref
Crossref
Gong Cheng & Junwei Han. (2016) A survey on object detection in optical remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing 117, pages 11-28.
Crossref
Crossref
Mustafa Turker & Emre Hamit Kok. (2013) Field-based sub-boundary extraction from remote sensing imagery using perceptual grouping. ISPRS Journal of Photogrammetry and Remote Sensing 79, pages 106-121.
Crossref
Crossref
Menno W. Straatsma, Marcel van der Perk, Aafke M. Schipper, Reinier J.W. de Nooij, Rob S.E.W. Leuven, Fredrik Huthoff & Hans Middelkoop. (2013) Uncertainty in hydromorphological and ecological modelling of lowland river floodplains resulting from land cover classification errors. Environmental Modelling & Software 42, pages 17-29.
Crossref
Crossref
Christina Corbane, Frédéric Jacob, Damien Raclot, Jean Albergel & Patrick Andrieux. (2012) Multitemporal analysis of hydrological soil surface characteristics using aerial photos: A case study on a Mediterranean vineyard. International Journal of Applied Earth Observation and Geoinformation 18, pages 356-367.
Crossref
Crossref
Uttam Kumar, S. Kumar Raja, Chiranjit Mukhopadhyay & T. V. Ramachandra. (2011) Hybrid Bayesian Classifier for Improved Classification Accuracy. IEEE Geoscience and Remote Sensing Letters 8:3, pages 474-477.
Crossref
Crossref
J.A. Recio, T. Hermosilla, L.A. Ruiz & A. Fernández-Sarría. (2011) Historical Land Use as a Feature for Image Classification. Photogrammetric Engineering & Remote Sensing 77:4, pages 377-387.
Crossref
Crossref
S. P. Vyas, M. P. Oza & V. K. Dadhwal. (2005) Multi-Crop separability study of Rabi Crops using Multi-Temporal satellite data. Journal of the Indian Society of Remote Sensing 33:1, pages 75-79.
Crossref
Crossref
E.P. Baltsavias. (2004) Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems. ISPRS Journal of Photogrammetry and Remote Sensing 58:3-4, pages 129-151.
Crossref
Crossref
Michael Bock. (2003) Remote sensing and GIS-based techniques for the classification and monitoring of biotopes. Journal for Nature Conservation 11:3, pages 145-155.
Crossref
Crossref
Yafit Cohen & Maxim Shoshany. (2002) A national knowledge-based crop recognition in Mediterranean environment. International Journal of Applied Earth Observation and Geoinformation 4:1, pages 75-87.
Crossref
Crossref
J. Ediriwickrema & S. Khorram. (1997) Hierarchical maximum-likelihood classification for improved accuracies. IEEE Transactions on Geoscience and Remote Sensing 35:4, pages 810-816.
Crossref
Crossref
C.Y. Ji. (1996) Delineating agricultural field boundaries from TM imagery using dyadic wavelet transforms. ISPRS Journal of Photogrammetry and Remote Sensing 51:6, pages 268-283.
Crossref
Crossref