A statistical approach for topographic correction of satellite images by using spatial context information

1999 ◽  
Vol 37 (1) ◽  
pp. 236-246 ◽  
Author(s):  
Degui Gu ◽  
A.R. Gillespie ◽  
J.B. Adams ◽  
R. Weeks
2019 ◽  
Vol 11 (16) ◽  
pp. 1902 ◽  
Author(s):  
Shouji Du ◽  
Shihong Du ◽  
Bo Liu ◽  
Xiuyuan Zhang

Urban functional-zone (UFZ) analysis has been widely used in many applications, including urban environment evaluation, and urban planning and management. How to extract UFZs’ spatial units which delineates UFZs’ boundaries is fundamental to urban applications, but it is still unresolved. In this study, an automatic, context-enabled multiscale image segmentation method is proposed for extracting spatial units of UFZs from very-high-resolution satellite images. First, a window independent context feature is calculated to measure context information in the form of geographic nearest-neighbor distance from a pixel to different image classes. Second, a scale-adaptive approach is proposed to determine appropriate scales for each UFZ in terms of its context information and generate the initial UFZs. Finally, the graph cuts algorithm is improved to optimize the initial UFZs. Two datasets including WorldView-2 image in Beijing and GaoFen-2 image in Nanchang are used to evaluate the proposed method. The results indicate that the proposed method can generate better results from very-high-resolution satellite images than widely used approaches like image tiles and road blocks in representing UFZs. In addition, the proposed method outperforms existing methods in both segmentation quality and running time. Therefore, the proposed method appears to be promising and practical for segmenting large-scale UFZs.


2019 ◽  
Vol 41 (5) ◽  
pp. 1692-1708
Author(s):  
Atilio Grondona ◽  
Bijeesh Kozhikkodan Veettil ◽  
Silvia Beatriz Alves Rolim ◽  
Luciana Paulo Gomes

2019 ◽  
Vol 11 (8) ◽  
pp. 933 ◽  
Author(s):  
Zhongyang Hu ◽  
Andreas J. Dietz ◽  
Claudia Kuenzer

Snowmelt in the mid-latitude European mountains is undergoing significant spatiotemporal changes. Regional snow line elevation (RSLE) is an appropriate indicator for assessing snow cover variations in mountain areas. To derive regional snow line dynamics during the ablation seasons 1984–2018, the present study unprecedentedly introduced a readily applicable framework. The framework constitutes four steps: atmospheric and topographic correction, snow classification, RSLE retrieval, and regional snow line retreat curve (RSLRC) derivation. The developed framework has been successfully applied to 8641 satellite images acquired by Landsat, ASTER, and Sentinel-2. The results of the intra-annual regional snow line variations show that: (1) regional snow lines in the Alpine catchments preserve the longest; (2) RSLEs are lower in the northern Pyrenees than in the southern part; (3) regional snow lines persist the shortest in the Carpathian catchments; and (4) during the end of the ablation season 2018, intermediate snowfall events in the catchments Adda, Tagliamento, and Uzh are observed. In terms of the long-term inter-annual variations, significantly accelerating snow line recession is detected in the northern Pyrenean catchment Ariege. In the Alpine catchment Alpenrhein and Drac, RSLRCs are shifting towards lower accumulated air-temperature (AT) significantly, with the magnitude of −3.77 °C·a−1 (Alpenrhein) and −3.99 °C·a−1 (Drac).


2021 ◽  
pp. 016344372110226
Author(s):  
Abdul Rohman ◽  
Peng Hwa Ang

This article responds to Crosscurrent articles (Treré et al., 2020) published in this journal by positing the potential usefulness of Disconnection for Protection (D4P) for calming unrest and managing volatile times. We first use a vignette from Ambon, Indonesia, to illuminate the need for D4P to throttle the spread of mis/disinformation during a communal violence and then discuss the existing repertoire of disconnections. Building on this, we propose temporal/spatial context, information flow, externality, and motivation as constitutive elements of D4P. We elaborate on their terms and conditions and suggest research directions at the end.


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