Object-based urban vegetation mapping with high-resolution aerial photography as a single data source

By Xiaoxiao Li, Guofan Shao. 2013

89 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Ecology, Environmental Engineering, Global and Planetary Change

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Gong Cheng
2. Junwei Han
3. Xiaoqiang Lu
4. Guisong Xia
5. Jocelyn Chanussot
6. Lei Guo
7. Danfeng Hong
8. Xingxing Xie

In Ecology

1. Jing Yao
2. Swalpa Kumar Roy
3. Jiantao Liu
4. Jianhua Gong
5. Quanlong Feng
6. Danfeng Hong
7. Jocelyn Chanussot
8. Lei Guo

In Environmental Engineering

1. Jiantao Liu
2. Jianhua Gong
3. Quanlong Feng
4. Gong Cheng
5. Guisong Xia
6. Junwei Han

In Global and Planetary Change

1. Jocelyn Chanussot
2. Jiantao Liu
3. Gong Cheng
4. Jianhua Gong
5. Quanlong Feng
6. Junwei Han

Citations in the corpus

• Remote Sensing Image Scene Classification: Benchmark and State of the Art (2017, background): “wide range of applications, such as natural hazards detection [5-7], LULC determination [8-43], geospatial object detection [27, 44-52], geographic image retrieval [53-63], vegetation mapping [64-68], environment monitoring, and urban planning.”
• A Survey on Object Detection in Optical Remote Sensing Images (2016, unknown): “…2012; Eisank et al., 2011; Goodin et al., 2015; Hay et al., 2003; Hofmann et al., 2011; Kim et al., 2011; Leon and Woodroffe, 2011; Li et al., 2014; Li and Shao, 2013; Lisita et al., 2013; Macfaden et al., 2012; Mallinis et al., 2008; Mishra and Crews, 2014; Moskal et al., 2011; Myint et al.,…”
• Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects (2021, background): “and land cover [29]–[32], environment monitoring and natural hazards detection [33], [34], vegetation mapping [35], [36] and urban planning.”
• UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis (2015, background): “Aerial photography is also widely used because the images acquired have an even higher resolution [7].”
• Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities (2020, background): “have been undertaken driven by its real-world applications, such as urban planning [5], [6], natural hazards detection [7]–[9], environment monitoring [10]–[12], vegetation mapping [13], [14], and geospatial object detection [15]–[22].”