Opening book details…
Can I read Identification and Evaluation of Urban Construction Waste with VHR Remote Sensing Using Multi-Feature Analysis and a Hierarchical Segmentation Method on EtoBox?
Identification and Evaluation of Urban Construction Waste with VHR Remote Sensing Using Multi-Feature Analysis and a Hierarchical Segmentation Method by Chen, Qiang ;Cheng, Qianhao ;Wang, Jinfei ;Du, Mingyi ;Zhou, Lei ;Liu, Yang is a Environmental Science article available to read on EtoBox.
What is Identification and Evaluation of Urban Construction Waste with VHR Remote Sensing Using Multi-Feature Analysis and a Hierarchical Segmentation Method about?
With rapid urbanization, the disposal and management of urban construction waste have become the main concerns of urban management. The distribution of urban construction waste is characterized by its wide range, irregularity, and ease of confusion with the surrounding ground objects, such as bare soil, buildings, and vegetation. Therefore, it is difficult to extract and identify information related to urban construction waste by using the traditional single spectral feature analysis method due to the problem of spectral confusion between construction waste and the surrounding ground objects, especially in the context of very-high-resolution (VHR) remote sensing images. Considering the multi-feature analysis method for VHR remote sensing images, we propose an optimal method that combines morphological indexing and hierarchical segmentation to extract the information on urban construction waste in VHR images. By comparing the differences between construction waste and the surrounding ground objects in terms of the spectrum, geometry, texture, and other features, we selected an optimal feature subset to improve the separability of the construction waste and other objects; then, we es
Who reads Identification and Evaluation of Urban Construction Waste with VHR Remote Sensing Using Multi-Feature Analysis and a Hierarchical Segmentation Method?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Chen, Qiang ;Cheng, Qianhao ;Wang, Jinfei ;Du, Mingyi ;Zhou, Lei ;Liu, Yang
- Publisher
- MDPI AG
- Published
- 2021
- Language
- EN
- Field
- Environmental Science (Physical Sciences)
More by Chen, Qiang ;Cheng, Qianhao ;Wang, Jinfei ;Du, Mingyi ;Zhou, Lei ;Liu, Yang
Browse all works by Chen, Qiang ;Cheng, Qianhao ;Wang, Jinfei ;Du, Mingyi ;Zhou, Lei ;Liu, Yang