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We presented the characterization of urban CO2 column abundance (XCO2) in Hefei, China using a portable low resolution spectrometer (PLRS). An optimized correction spectrum was introduced in the spectral fitting to improve CO2 retrieval. A pronounced seasonal cycle and diurnal variation were observed with a precision of ~0.12%. The CO2 concentrations in winter are about 5–10ppm higher than those in...
Step-by-step and from-easy-to-difficult are the outstanding characteristics of geological interpretationof remote sensing images. The interpretation results, especially the attributes of interpreted features, can be changed or adjusted on each step according to the reference materials and the field work feedback. As aconsequence, geological interpreters may make a lot of attribute adjustments and...
With the development of network technology and multi-source, massive spatial information processing, and spatial information application services (SIAS), we are proceeding towards distributed and network-based directions. Many SIAS focus on the issues of distributed spatial data integration and sharing in a web-based environment. However, in geological applications, compared with data sharing, data...
This paper focuses on slope unit derivation from DEM by object-based image analysis. A landform classification system consisting of ridge, valley, slope unit, and flat terrain classes is firstly constructed considering the detailed characteristics of slope unit. Based on the classification system, a procedure for slope unit derivation from DEM, which takes into consideration the topographic factors...
This paper presents a framework for human-computer interaction (HCI)-based geological interpretation of remote sensing images in circumstance of cooperative work. Since image interpretation application tasks often turn out to be a heavy workload, timely, tight, and quality demanding, it is too overwhelming for the conventional work mode which typically involves single interpreter and isolated computers...
Synthetic Aperture Radar (SAR) sensors are valuable to flood mapping as radar wavelengths can penetrate cloud cover during floods and are insensitive to daylight. Algorithms that enable an automatic delineation of flooded areas are an essential component of any SAR-based monitoring service. In this paper, efficient image processing method based on two-dimensional (2D) maximum entropy and genetic algorithm...
This paper presents a method for ship detection using texture statistics from optical satellite images. The proposed method focuses on the extraction of ship candidates. First, a structural texture descriptor derived from local multiple patterns is introduced to describe image texture features, and then two statistical histograms are generated by quantizing texture features to describe the texture...
Automatic ship detection from remote sensing imagery has many applications, such as maritime security, traffic surveillance, fisheries management. However, it is still a difficult task for noise and distractors. This paper is concerned with perceptual organization, which detect salient convex structures of ships from noisy images. Because the line segments of contour of ships compose a convex set,...
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