Jiantao Liu

Ecology · 2015

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 22 citations into it; #5,373 of 10,717 by trust here, #9,173 by citations
• Environmental Engineering — 13 citations into it; #2,272 of 5,479 by trust here, #3,203 by citations
• Media Technology — 12 citations into it; #2,218 of 3,621 by trust here, #2,820 by citations
• Global and Planetary Change — 8 citations into it; #6,957 of 10,225 by trust here, #8,787 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Jiantao Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Victor Francisco Rodriguez-Galiano
2. Robert Martin Haralick
3. Giorgos Mountrakis
4. Quanlong Feng
5. Mario Chica-Olmo

Who trusts Jiantao Liu overall

1. Milan Erdelj
2. H. Yao
3. Quanlong Feng
4. Mingyang Lyu

Papers from Jiantao Liu's perspective

Ordered by how strongly the researchers Jiantao Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Textural Features for Image Classification
2. Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery
3. Classification of the wildland-urban interface: A comparison of pixel- and object-based classifications using high-resolution aerial photography (Computers, Environment and Urban Systems)
4. Support vector machines in remote sensing: A review
5. UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis (Remote Sensing)
6. An assessment of the effectiveness of a random forest classifier for land-cover classification
7. Object-based urban vegetation mapping with high-resolution aerial photography as a single data source
8. A survey of image classification methods and techniques for improving classification performance
9. Retrieving forest structure variables based on image texture analysis and IKONOS-2 imagery
10. An analysis of co-occurrence texture statistics as a function of grey level quantization

Their papers

• Urban Flood Mapping Based on Unmanned Aerial Vehicle Remote Sensing and Random Forest Classifier—A Case of Yuyao, China (2015) — 306 citations
• UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis (2015) — 552 citations