Remote sensing imagery segmentation in object-based analysis: A review of methods, optimization, and quality evaluation over the past 20 years

B Ez-zahouani, A Teodoro, O El Kharki… - Remote Sensing …, 2023 - Elsevier
Object-based image analysis (OBIA) has become a key research topic for decades and
represents an attractive paradigm leading to accurate features classification and recognition …

Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images

M Li, J Long, A Stein, X Wang - ISPRS Journal of Photogrammetry and …, 2023 - Elsevier
This paper presents a semantic edge-aware multi-task neural network (SEANet) to obtain
closed boundaries when delineating agricultural parcels from remote sensing images. It …

Improving agricultural field parcel delineation with a dual branch spatiotemporal fusion network by integrating multimodal satellite data

Z Cai, Q Hu, X Zhang, J Yang, H Wei, J Wang… - ISPRS Journal of …, 2023 - Elsevier
Accurate spatial information for agricultural field parcels is important for agricultural
production management and understanding agro-industrialization and intensification …

DFCNN-based semantic recognition of urban functional zones by integrating remote sensing data and POI data

H Bao, D Ming, Y Guo, K Zhang, K Zhou, S Du - Remote Sensing, 2020 - mdpi.com
The urban functional zone, as a special fundamental unit of the city, helps to understand the
complex interaction between human space activities and environmental changes. Based on …

Automated detection of boundary line in paddy field using MobileV2-UNet and RANSAC

Y He, X Zhang, Z Zhang, H Fang - Computers and Electronics in Agriculture, 2022 - Elsevier
The detection of boundary lines in farmlands is critical for precision agriculture and
automatic navigation. This study proposed a novel method for automatic detection of …

Delineation of cultivated land parcels based on deep convolutional networks and geographical thematic scene division of remotely sensed images

L Xu, D Ming, T Du, Y Chen, D Dong, C Zhou - Computers and Electronics …, 2022 - Elsevier
Extraction of cultivated land information from high spatial resolution remote sensing images
is increasingly becoming an important approach to digitization and informatization in …

BSNet: Boundary-semantic-fusion network for farmland parcel mapping in high-resolution satellite images

W Shunying, Z Ya'nan, Y Xianzeng, F Li… - … and Electronics in …, 2023 - Elsevier
Mapping farmland parcels using satellite images is essential for agricultural remote sensing
applications. Loss of spatial details and positioning of parcel boundaries are the main …

基于多源国产高分卫星时空信息的米级分辨率耕地提取.

蔡志文, 何真, 王文静, 杨靖雅… - Journal of Remote …, 2022 - search.ebscohost.com
English Timely and accurate estimation of the spatial distribution of cropland is critical for
agricultural production management, yield estimation, and planting structure adjustment …

An adaptive image segmentation method with automatic selection of optimal scale for extracting cropland parcels in smallholder farming systems

Z Cai, Q Hu, X Zhang, J Yang, H Wei, Z He, Q Song… - Remote Sensing, 2022 - mdpi.com
Reliable cropland parcel data are vital for agricultural monitoring, yield estimation, and
agricultural intensification assessments. However, the inherently high landscape …

Multi-scale and context-aware framework for flood segmentation in post-disaster high resolution aerial images

SD Khan, S Basalamah - Remote Sensing, 2023 - mdpi.com
Floods are the most frequent natural disasters, occurring almost every year around the
globe. To mitigate the damage caused by a flood, it is important to timely assess the …