Morphological Building/Shadow Index for Building Extraction From High-Resolution Imagery Over Urban Areas

By Xin Huang, Liangpei Zhang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012

367 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Media Technology

View Paper: https://www.semanticscholar.org/paper/0dbb8469184a18800b537600b8ace181c49c404a

How researchers see this paper

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

In Atmospheric Science

1. Jie Shan
2. Laigen Dong
3. Jixian Zhang

In Media Technology

1. Jie Shan
2. Xiangguo Lin
3. Laigen Dong
4. Jixian Zhang

Citations in the corpus

• Advances in fusion of optical imagery and LiDAR point cloud applied to photogrammetry and remote sensing (2017, background): “With the increasing details in VHSR satellite images, satellite imagery has become a cost-effective alternative to aerial photography for building extraction (Huang and Zhang 2012).”
• A comprehensive review of earthquake-induced building damage detection with remote sensing techniques (2013, background): “Morphological features have been a focus for building detection research in urban areas for a long time (Pesaresi and Benediktsson, 2001; Benediktsson et al., 2003; Huang and Zhang, 2012).”
• Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art (2016, neutral): “[67] X.”