Using the Landsat-8 remote sensing images from 2014-2018 years, the green space near urban areas was extracted by using radiation calibration, atmospheric correction, false color synthesis and threshold segmentation. The extraction results were verified by optical remote sensing images. On this basis, the temporal and spatial changes of green space near the vicinity of urban areas based on remote sensing images in Zhengzhou were analyzed. The results show that the above method is effective and accurate based on the Landsat-8 remote sensing images for temporal and spatial changes in the green space near urban areas. From the perspective of time, the green space around Zhengzhou has decreased year by year, showing that the area of Zhengzhou has expanded year by year and has encroached the nearby green space. From the perspective of space, although the greening near the urban areas of Zhengzhou has been preserved, the high vegetation coverage areas near the urban areas have gradually developed towards low vegetation coverage and even non-vegetation coverage.

Aiming at problem of denoising and enhancement in Synthetic Apertnre Radar (SAR) image, this paper proposes a fnsion of wavelet packet transform and fnzzy set algorithm for freqnency domain and fnzzy domain collaborative and joint processing to improve denoising and enhancement effect in SAR image. Firstly, wavelet packet transform was nsed to decompose SAR image in freqnency domain, and noise was removed by threshold qnantization. Then, the low freqnency part of SAR image was linearly transformed to enhance freqnency domain of SAR image. Finally, fnzzy set algorithm was nsed to enhance fnzzy domain of SAR image. In snmmary, this paper comprehensively proposes a SAR image denoising and enhancement algorithm combining wavelet packet and fnzzy set. The effectiveness and snperiority of proposed method are verified by experiments.