Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data
Authors
Keywords
-
Journal
Remote Sensing
Volume 12, Issue 13, Pages 2159
Publisher
MDPI AG
Online
2020-07-06
DOI
10.3390/rs12132159
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparison of land use classification based on convolutional neural network
- (2020) Mengyao Li et al. Journal of Applied Remote Sensing
- ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
- (2020) Foivos I. Diakogiannis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks
- (2020) Pablo de Bem et al. Remote Sensing
- U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images—Case Study in the Joanópolis City, Brazil
- (2020) Fabien H. Wagner et al. Remote Sensing
- In-Season Mapping of Irrigated Crops Using Landsat 8 and Sentinel-1 Time Series
- (2019) Valérie Demarez et al. Remote Sensing
- A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks
- (2019) Manuel Carranza-García et al. Remote Sensing
- Change Detection in Remote Sensing Images Based on Image Mapping and a Deep Capsule Network
- (2019) Wenping Ma et al. Remote Sensing
- Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data
- (2019) Weijia Li et al. Remote Sensing
- The Spectral-Spatial Joint Learning for Change Detection in Multispectral Imagery
- (2019) Wuxia Zhang et al. Remote Sensing
- Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors
- (2019) Zhiwei Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France
- (2019) Hassan Bazzi et al. Remote Sensing
- Road Extraction by Using Atrous Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity Loss
- (2019) Hao He et al. Remote Sensing
- Deep learning in remote sensing applications: A meta-analysis and review
- (2019) Lei Ma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++
- (2019) Daifeng Peng et al. Remote Sensing
- Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network
- (2019) Yaning Yi et al. Remote Sensing
- Climate Change and Intense Irrigation Growth in Western Bahia, Brazil: The Urgent Need for Hydroclimatic Monitoring
- (2019) Raphael Pousa et al. Water
- An Improved Perceptual Hash Algorithm Based on U-Net for the Authentication of High-Resolution Remote Sensing Image
- (2019) Kaimeng Ding et al. Applied Sciences-Basel
- A cloud detection algorithm for satellite imagery based on deep learning
- (2019) Jacob Høxbroe Jeppesen et al. REMOTE SENSING OF ENVIRONMENT
- Extracting Raft Aquaculture Areas from Remote Sensing Images via an Improved U-Net with a PSE Structure
- (2019) Binge Cui et al. Remote Sensing
- Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain
- (2019) Hassan Bazzi et al. Remote Sensing
- Sustainable Irrigation in Agriculture: An Analysis of Global Research
- (2019) Juan F. Velasco-Muñoz et al. Water
- A survey on deep learning techniques for image and video semantic segmentation
- (2018) Alberto Garcia-Garcia et al. APPLIED SOFT COMPUTING
- Road Extraction by Deep Residual U-Net
- (2018) Zhengxin Zhang et al. IEEE Geoscience and Remote Sensing Letters
- A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches
- (2018) Su Ye et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Economic analysis of sustainable water use: A review of worldwide research
- (2018) José A. Aznar-Sánchez et al. JOURNAL OF CLEANER PRODUCTION
- Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery
- (2018) Bo Huang et al. REMOTE SENSING OF ENVIRONMENT
- Detecting irrigation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data
- (2018) Yaoliang Chen et al. REMOTE SENSING OF ENVIRONMENT
- Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters
- (2018) Yongyang Xu et al. Remote Sensing
- Advances in Water Use Efficiency in Agriculture: A Bibliometric Analysis
- (2018) et al. Water
- Sustainable Water Use in Agriculture: A Review of Worldwide Research
- (2018) Juan Velasco-Muñoz et al. Sustainability
- Multilevel Cloud Detection for High-Resolution Remote Sensing Imagery Using Multiple Convolutional Neural Networks
- (2018) Yang Chen et al. ISPRS International Journal of Geo-Information
- Irrigation Mapping Using Sentinel-1 Time Series at Field Scale
- (2018) Qi Gao et al. Remote Sensing
- Soil Moisture and Irrigation Mapping in A Semi-Arid Region, Based on the Synergetic Use of Sentinel-1 and Sentinel-2 Data
- (2018) Safa Bousbih et al. Remote Sensing
- Water Body Extraction From Very High-Resolution Remote Sensing Imagery Using Deep U-Net and a Superpixel-Based Conditional Random Field Model
- (2018) Wenqing Feng et al. IEEE Geoscience and Remote Sensing Letters
- Training Deep Convolutional Neural Networks for Land–Cover Classification of High-Resolution Imagery
- (2017) Grant J. Scott et al. IEEE Geoscience and Remote Sensing Letters
- Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
- (2017) Nataliia Kussul et al. IEEE Geoscience and Remote Sensing Letters
- Multilevel Cloud Detection in Remote Sensing Images Based on Deep Learning
- (2017) Fengying Xie et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Increased food production and reduced water use through optimized crop distribution
- (2017) Kyle Frankel Davis et al. Nature Geoscience
- The interaction of human population, food production, and biodiversity protection
- (2017) Eileen Crist et al. SCIENCE
- Deep learning for visual understanding: A review
- (2016) Yanming Guo et al. NEUROCOMPUTING
- Landscape-fragmentation change due to recent agricultural expansion in the Brazilian Savanna, Western Bahia, Brazil
- (2016) Sandro Nunes de Oliveira et al. Regional Environmental Change
- Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product
- (2016) Eric Vermote et al. REMOTE SENSING OF ENVIRONMENT
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Comparative Analysis of MODIS Time-Series Classification Using Support Vector Machines and Methods Based upon Distance and Similarity Measures in the Brazilian Cerrado-Caatinga Boundary
- (2015) Natanael Abade et al. Remote Sensing
- Water Scarcity and Future Challenges for Food Production
- (2015) Noemi Mancosu et al. Water
- Mapping irrigated areas in Afghanistan over the past decade using MODIS NDVI
- (2014) Md. Shahriar Pervez et al. REMOTE SENSING OF ENVIRONMENT
- Assessing the MODIS Crop Detection Algorithm for Soybean Crop Area Mapping and Expansion in the Mato Grosso State, Brazil
- (2014) Anibal Gusso et al. TheScientificWorldJOURNAL
- Imagens mono e multitemporais Modis para estimativa da área com soja no estado de Mato Grosso
- (2012) Tiago Bernardes et al. PESQUISA AGROPECUARIA BRASILEIRA
- Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil
- (2011) Damien Arvor et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Pixels, blocks of pixels, and polygons: Choosing a spatial unit for thematic accuracy assessment
- (2011) Stephen V. Stehman et al. REMOTE SENSING OF ENVIRONMENT
- Cadastral maps of irrigated areas by center pivots in the State of Minas Gerais, using CBERS-2B/CCD satellite imaging
- (2011) Elizabeth Ferreira et al. Engenharia Agricola
- A New Approach to Change Vector Analysis Using Distance and Similarity Measures
- (2011) Osmar A. Carvalho Júnior et al. Remote Sensing
- A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-remote Sensing Approaches
- (2010) Prasad Thenkabail et al. Remote Sensing
- Remote Sensing of Irrigated Agriculture: Opportunities and Challenges
- (2010) Mutlu Ozdogan et al. Remote Sensing
- Mapping Irrigated Lands at 250-m Scale by Merging MODIS Data and National Agricultural Statistics
- (2010) Md Shahriar Pervez et al. Remote Sensing
- Potentiality of optical and radar satellite data at high spatio-temporal resolutions for the monitoring of irrigated wheat crops in Morocco
- (2009) R. Hadria et al. International Journal of Applied Earth Observation and Geoinformation
- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Quantifying blue and green virtual water contents in global crop production as well as potential production losses without irrigation
- (2009) Stefan Siebert et al. JOURNAL OF HYDROLOGY
- Mapping irrigated area in Mediterranean basins using low cost satellite Earth Observation
- (2008) Thomas K. Alexandridis et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US
- (2008) Mutlu Ozdogan et al. REMOTE SENSING OF ENVIRONMENT
- Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil
- (2007) Gillian L. Galford et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search