A Comprehensive Review of Agricultural Parcel and Boundary Delineation From Remote Sensing Images: Recent progress and future perspectives
Sun Yat-sen University · Southwest Jiaotong University · +6 more institutions
Abstract
Recent advances in diverse remote sensing sensors have enabled the acquisition of high-spatial-resolution imagery, offering unprecedented opportunities for cost-efficient and accurate agricultural inventory and analysis in an automated manner. Lots of studies that aim at providing an inventory of the level of each agricultural parcel have generated many methods for agricultural parcel and boundary delineation (APBD). This review article covers APBD methods for detecting and delineating agricultural parcels and systematically reviews the past and present of APBD-related research applied to remote sensing images. We conceptualize existing APBD studies as comprising three hierarchical levels: cropland…
Citation impact
- FWCI
- 78.45
- Percentile
- 100%
- References
- 0
Authors
10- JZJuepeng ZhengCorresponding
Sun Yat-sen University
- ZYZi Ye
Sun Yat-sen University
- YWYibin Wen
Sun Yat-sen University
- JHJianxi Huang
Southwest Jiaotong University
- ZZZhiwei Zhang
Sun Yat-sen University
Topics & keywords
- Convolutional neural network
- Identification (biology)
- Deep learning
- Metadata
- Categorization
- Remote sensing application
- Sensor fusion
- Segmentation
- Zero hunger